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Position Type:
Assistant Professor in Computational Chemistry, Computational Biochemistry or Cheminformatics
Position Type:
Regular
Salary Range:
Tenure-stream assistant professor starting salary can range from $98,135 to $109,000, based on the number of years of teaching experience. Benefits are competitive. Recognizing the high cost of housing in the local area, the University has established two housing assistance programs for qualified faculty: [1] a rental assistance program and [2] a purchase assistance program. For details, please refer to: <a href="https://www.scu.edu/provost/policies-and-procedures/support-for-faculty/housing-assistance/" target="_blank">https://www.scu.edu/provost/policies-and-procedures/support-for-faculty…</a>
Purpose: The Department of Chemistry and Biochemistry at Santa Clara University is seeking a tenure-track assistant professor beginning fall 2024. Santa Clara University is a highly ranked Jesuit, Catholic university with an ACS-approved undergraduate program and is located in the Silicon Valley. The successful candidate is expected to demonstrate the ability to teach chemistry effectively to a diverse student body, establish an externally funded and productive undergraduate research program in computational &nbsp;chemistry, computational biochemistry, or cheminformatics (broadly defined), contribute to departmental research and teaching objectives, and participate in service-related activities. &nbsp;We encourage applications from scientists who will establish an active research program involving undergraduate students in predictive modeling, quantum chemistry, molecular simulations, machine learning, artificial intelligence, and/or big data analytics as applied to complex (bio)chemical problems. In silico approaches may be paired with wet lab approaches as well, but are not necessary.&nbsp;
Qualifications: Required Qualifications: A Ph.D. and postdoctoral experience in chemistry, biochemistry, or a closely allied field is required, along with a strong commitment to teaching and undergraduate research.
Preferred Qualifications:&nbsp; 1) Experience with inclusive pedagogical practices that advance SCU goals of diversity and equity. (2) Experience teaching and mentoring a diverse population of undergraduates.
Rank and Salary: Assistant Professor; competitive salary and benefits package including housing assistance program&nbsp;
Starting Date September 1, 2024
Application Deadline September 15, 2023
Responsibilities Tenure track faculty at SCU are teaching scholars who are expected to balance teaching, research and service. This is an in-person position. More specifically, duties include but are not limited to:
TEACHING 1. Teach lower- and upper-division courses in the major and university core curriculum, as assigned by the chair and subdisciplinary expertise. &nbsp;SCU is on the quarter system and a typical load is two courses per quarter. Teaching responsibilities include, but are not limited to the following: a. Conducting and appearing at all assigned class meetings in a timely and prepared manner that demonstrates a command of the discipline and skill in presenting it effectively. b. Assigning and evaluating written work, projects, and exams that align with course or core learning objectives and providing timely feedback to students. c. Holding weekly office hours at times reasonably convenient to students. d. Assigning and submitting student grades that are appropriate, accurate, and fair measures of student performance to the Office of the Registrar by the designated deadline. e. Administering numerical and narrative evaluations in each section for all courses.
 2. Develop and teach courses that contribute to curriculum development in the relevant degree program and/or the university core. &nbsp;Faculty teaching university core courses should follow an approved syllabus or work with the chair to design an appropriate syllabus for submission for approval from the relevant Faculty Core Curriculum Committee.
 3. Participate in assessment of student learning for courses in the department.
 4. Provide informed advice and mentoring to undergraduate students.
 5. Fulfill other instructional or academic duties as may be assigned by the Dean of the College of Arts and Sciences or by the Chair of the Chemistry and Biochemistry Department.
 RESEARCH 1. Setting up a laboratory to perform computational research that will engage undergraduates and lead to sustained publication of results in reputable, peer-reviewed journals. 2. Pursuing external funding for individual and departmental research and teaching objectives.
SERVICE 1. Provide effective service to the Department of Chemistry and Biochemistry, the College, the University and profession through contributions other than teaching and scholarship such as service on committees, participation in professional organizations and activities, leadership, and community service performed by virtue of professional expertise or association with the university as appropriate to rank and experience.
Special Instructions for Applicants: Applicants should submit:&nbsp;
<ul>
<li>A cover letter</li>
<li>Curriculum vitae.</li>
<li>Detailed research plan, which should include a discussion of how the candidate’s program will be implemented at a Primarily Undergraduate Institution.</li>
<li>Statement of teaching philosophy</li>
<li>A brief statement regarding the applicant's knowledge of, track record in, and plans for working with people of diverse cultures and identities.</li>
<li>Graduate transcripts (unofficial transcripts are acceptable at this stage)</li>
<li>Contact information for three references.</li>
<li>Sample syllabi and teaching evaluations for any lecture course(s) taught, if available.</li>
</ul>
Additional Information Additional information on the Department of Chemistry &amp; Biochemistry can be found on our website: <a href="https://www.scu.edu/cas/chemistry/" target="_blank">https://www.scu.edu/cas/chemistry/</a>. Inquiries about this position can be emailed to the search committee at <a href="mailto:ChemApp@scu.edu" target="_blank">ChemApp@scu.edu</a>.
About Santa Clara University Located in the heart of northern California’s Silicon Valley, Santa Clara is a private, Jesuit, Catholic university committed to promoting social justice in a comprehensive educational setting. Faculty members are teaching-scholars who balance a commitment to quality teaching with active programs of research and a dedication to educating the whole person.&nbsp;
 Applicants are invited to visit the University’s website (<a href="http://www.scu.edu" target="_blank">www.scu.edu</a>) for background on Santa Clara’s mission, scope of programs and degrees offered, faculty opportunities for interdisciplinary programs and research, and the Integrated Strategic Plan (2020 plan). The successful candidate will be able to address ways in which she/he can help the University achieve its goals.&nbsp;
The health and safety of the university community is a top priority.&nbsp;All Santa Clara University students, and employees are required to be vaccinated against COVID-19 or request a medical or religious&nbsp;exemption. Please visit our&nbsp;<a href="https://www.scu.edu/preparedscu/vaccines/" target="_blank">COVID-19&nbsp;webpage</a>&nbsp;for additional information.
Work Authorization:
A foreign national who is appointed to a tenured or tenure-track faculty position is eligible for sponsorship by Santa Clara University.
 EEO Statement
​Equal Opportunity/Notice of Nondiscrimination
Santa Clara University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and California State laws, regulations, and executive orders regarding non-discrimination and affirmative action. Applications from members of historically underrepresented groups are especially encouraged. For a complete copy of Santa Clara University’s equal opportunity and nondiscrimination policies, see <a href="https://www.scu.edu/title-ix/policies-reports/" target="_blank">https://www.scu.edu/title-ix/policies-reports/</a>
Title IX of the Education Amendments of 1972
Santa Clara University does not discriminate in its employment practices or in its educational programs or activities on the basis of sex/gender, and prohibits retaliation against any person opposing discrimination or participating in any discrimination investigation or complaint process internally or externally. The Title IX Coordinator and Section 504 and ADA Coordinator is Aaron Zisser, Director of Equal Opportunity and Title IX, 408-551-3043, <a href="mailto:azisser@scu.edu" target="_blank">azisser@scu.edu</a> , <a href="http://www.scu.edu/title-ix" target="_blank">www.scu.edu/title-ix</a>. Inquiries can also be made to the Assistant Secretary of Education within the Office for Civil Rights (OCR).
Clery Notice of Availability
Santa Clara University annually collects information about campus crimes and other reportable incidents in accordance with the federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. To view the Santa Clara University report, please go to the Campus Safety Services&nbsp;<a href="https://university-operations.scu.edu/campus-safety/crime-reporting/" target="_blank">website</a>. To request a paper copy please call Campus Safety at (408) 554-4441. The report includes the type of crime, venue, and number of occurrences.
Americans with Disabilities Act
Santa Clara University affirms its' commitment to employ qualified individuals with disabilities within the workplace and to comply with the Americans with Disability Act. All applicants desiring an accommodation should contact the <a href="https://www.scu.edu/phonebook/Department-of-Human-Resources" target="_blank">Department of Human Resources</a>, and 408-554-5750 and request to speak to Indu Ahluwalia by phone at 408-554-5750 or by email at <a href="mailto:iahluwalia@scu.edu" target="_blank">iahluwalia@scu.edu</a>.

Assistant Professor in Computational Chemistry, Computational Biochemistry or Cheminformatics

IT: Two Sigma Investments, LP seeks Data Scientist in NY, NY. Incls but not limited to Exploratory research for design &amp; implementation of domain-specific signals based on comp data research &amp; analysis on alternative data &amp; rel them to co., industry &amp; macroeconomic factors. Building quantitative models for asset classes in private mkts, generating economic insights based on data driven techniques, &amp; rel trends in data indicators &amp; model predictions to investment themes, strategies, or co. level operational decisions/value creation opp'tys. Note: Co. "Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month. Must have Master's or equiv in Fin'c, Data Sci, Stats, Math or rel field. Position does not req specific yrs exp but req's listed skills. Must have demonstrated knowl of analyzing high dimensional, sparse datasets to generate insights guiding key decisions. Must have demonstrated knowl of recognizing when &amp; how to explicitly or implicitly combine info from various datasets to enhance value. Must have demonstrated knowl of model dvlpmt w/ scientific computing methods &amp; big data technologies such as Spark. Must have demonstrated knowl of time-series analysis &amp; natural language processing. Must have demonstrated knowl of manipulation of structured &amp; unstructured datasets w/ open-source stat languages such as Python. Must have demonstrated knowl of exploratory data analysis &amp; visualization w/ visualization frameworks such as matplotlib, Seaborn, or Plotly. Must have demonstrated knowl of stat machine learning &amp; deep learning thru frameworks such as scikit-learn, TensorFlow, pytorch, keras, or huggingface. Must have demonstrated knowl of conducting data research trials &amp; making recommendations for/against data acquisitions. Must have demonstrated knowl of econometric analysis, causal inference, recommender sys's, &amp; deep learning. Must have demonstrated knowl of prog'g w/ object-oriented languages such as Python &amp; incl ability to design &amp; implement data pipelines. Must have demonstrated knowl of relational dbase sys's incl ability to optimize queries in SQL. Must have demonstrated knowl of investment mgmt. &amp; fin'l analysis thru analysis of P&amp;L, inventory, cash, &amp; inter-company transactions. Must pass co.'s req'd skills assessment. Employer will accept any amount of grad coursework, grad research exp or exp w/ req'd skills. Rate: $165,000-$325,000/yr (may also be elig for other forms of compensation &amp; bnfts). Send resume to TS/HR Dept., Two Sigma Investments, LP, 100 Avenue of the Americas, 16th Fl, NY, NY 10013 or email resume to TS-Posting@ twosigma.com &amp; ref Job # 13018.

Data Scientist

<h3>Job Description</h3>
Job Description
Onsite - Austin, TX Local candidates only.
The Big Data Scientiest position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
10
Required
Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.

Big Data Scientist

<h3>Job Description</h3>
Job Description
Respond by: 04/11/2025
Rate: DOE
Type: Contract
Work Mode: 100% Onsite
Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)
Background Check will be performed if a candidate is selected for placement and will have to be passed'
Job Description
The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists. 
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
10
Required
Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
III. TERMS OF SERVICE 
Services are expected to start 05/05/2025 and are expected to complete by 08/31/2025. Total estimated hours per Candidate shall not exceed 400 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.

Data Scientist (Big Data Engineer) (Prefer local cand with Public Sector/Healthcare Exp)

<h3>Job Description</h3>
Job Description
SymSoft is looking for a highly skilled and motivated Senior Data Scientist to join our advanced analytics team. The ideal candidate will be passionate about solving complex problems, building scalable data-driven solutions, and enabling the next generation of intelligent systems using cutting-edge technologies, including LLMs and machine learning.
You will work closely with data engineers, domain experts, data analysts, and business stakeholders to deliver actionable insights, predictive models, and intelligent automation. This role demands both technical expertise and strong communication skills to bridge data science with business impact.
This is an on-site position in Sacramento, CA.
Requirements
Responsibilities:
<ul>
<li>Integrate and analyze structured and unstructured data from multiple sources to generate actionable insights. </li>
<li> Design and implement predictive models and advanced analytics techniques. </li>
<li> Prepare, clean, and transform data for analysis and model development. </li>
<li> Build intelligent data pipelines to support LLM-based applications, including text embeddings, SQL generation, and structured data integration. </li>
<li> Develop solutions using Python, LLM frameworks, SQL/NoSQL databases, and cloud technologies. </li>
<li> Apply machine learning, deep learning, and optimization algorithms to drive decision-making. </li>
<li> Create and maintain Retrieval-Augmented Generation (RAG) workflows, prompt engineering methods, and vector-based search strategies. </li>
<li> Collaborate with cross-functional teams and communicate effectively with stakeholders to align on goals and deliver value. </li>
<li> Present findings through compelling data visualizations and storytelling using tools like Power BI or Tableau. </li>
<li> Manage and deliver multiple projects independently in a dynamic, fast-paced environment. </li>
<li> Contribute to a collaborative team culture focused on innovation and continuous learning.</li>
</ul>
Required Experience: 
<ul>
<li>PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. </li>
<li>Minimum of 10 years of hands-on experience in data science, statistical modeling, and applied machine learning.</li>
<li>Strong programming skills in at least one data science language (e.g., Python, R, Scala).</li>
<li>Expertise in working with large structured and unstructured datasets, including experience with big data platforms and data mining techniques.</li>
<li>Proficiency in SQL, data wrangling, and building data pipelines.</li>
<li>Experience with cloud platforms such as Azure, AWS, or Google Cloud.</li>
<li>A strong understanding of LLMs, embeddings, and NLP techniques is a significant plus.</li>
<li>Familiarity with healthcare data and clinical/business processes is highly desirable.</li>
<li>Excellent verbal and written communication skills.</li>
<li>Self-motivated, results-oriented, and capable of working both independently and collaboratively.</li>
</ul>
Benefits
<ul>
<li>Complimentary snacks, teas, and coffees.</li>
<li>An opportunity to make a difference in people's lives.</li>
<li>Salary Range: $85,000/Year to $110,000/Year (depends on experience and Negotiable)</li>
<li>Open to Corp-corp also.</li>
</ul>

Sr. Data Scientist/ ML

<h3>Job Description</h3>
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position]. Job Profile Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Digital Fraud Data Scientist within PNC's Enterprise Fraud - Adapt organization, you will be based in Pittsburgh, PA, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion. The analyst will assist with analytics when an anomaly or fraud incident within the Digital payments domain (Zelle, Wire, ACH, etc.) reaches the Adapt team. Specific duties to include identifying and understanding fraud patterns, proposing rules and other supplementary countermeasures to address the attack vector, to assess the effectiveness (capture rate) and impact (false positives) of said proposals, present findings to leadership/management, and assess the effectiveness of the implementation post-production compared to the prior expectations. Collaborate with partners in the line of business, monitoring (React), business as usual (Act), and systems (Plan) areas within the Enterprise Fraud Organization, operations, incident management, and other stakeholders to stay ahead of emerging fraud trends. Rapid pace environment due to the nature of the underlying work and the amount of money that can be lost as a window remains open and more bad actors are attracted to exploit it. Skillsets include usage of statistical and advanced quantitative techniques, transactional behavior analysis, and real-time signals to design and optimize fraud detection rules that enhance customer protection while minimizing friction. Key Responsibilities: · Develop, write, and optimize real-time fraud detection rules using data-driven insights · Analyze large datasets (transactional, behavioral, and device-level) to identify patterns of fraud and abuse · Leverage statistical, machine learning, ana anomaly detection techniques to support rules-based countermeasures · Conduct impact analysis and performance monitoring of fraud rules and adjust strategies accordingly · Partner with fraud operations, digital product teams, and tech to deploy, test, and validate rules in production · Evaluate and respond to emerging fraud vectors in digital channels · Translate business problems into analytical solutions with focus on actionable outcomes · Create dashboards and reports to track fraud trends, rule effectiveness, and key performance metrics Preferred Skills: · Ability to approach complex business problems with analytical rigor · Proficiency in SQL, Python, PySpark, R and/or SAS for data analysis and rule simulation · Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.Job Description
<ul>
<li>Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.</li>
<li>Participates in the data gathering, data processing and data mining of large and complex datasets.</li>
<li>Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.</li>
<li>Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.</li>
<li>May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li>
</ul>
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
<ul>
<li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li>
<li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li>
</ul>
Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit&nbsp;Your PNC Total Rewards.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at <a href="mailto:AccommodationRequest@pnc.com" target="_blank">AccommodationRequest@pnc.com</a>. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. &nbsp;Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
 At PNC we foster an inclusive and accessible workplace. &nbsp;We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
 PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents 
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Data Scientist (Digital Fraud)

<h3>Job Description</h3>
 Job Profile Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Digital Fraud Data Scientist within PNC's Enterprise Fraud - Adapt organization, you will be based in Pittsburgh, PA, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion. The analyst will assist with analytics when an anomaly or fraud incident within the Digital payments domain (Zelle, Wire, ACH, etc.) reaches the Adapt team. Specific duties to include identifying and understanding fraud patterns, proposing rules and other supplementary countermeasures to address the attack vector, to assess the effectiveness (capture rate) and impact (false positives) of said proposals, present findings to leadership/management, and assess the effectiveness of the implementation post-production compared to the prior expectations. Collaborate with partners in the line of business, monitoring (React), business as usual (Act), and systems (Plan) areas within the Enterprise Fraud Organization, operations, incident management, and other stakeholders to stay ahead of emerging fraud trends. Rapid pace environment due to the nature of the underlying work and the amount of money that can be lost as a window remains open and more bad actors are attracted to exploit it. Skillsets include usage of statistical and advanced quantitative techniques, transactional behavior analysis, and real-time signals to design and optimize fraud detection rules that enhance customer protection while minimizing friction. Key Responsibilities: · Develop, write, and optimize real-time fraud detection rules using data-driven insights · Analyze large datasets (transactional, behavioral, and device-level) to identify patterns of fraud and abuse · Leverage statistical, machine learning, ana anomaly detection techniques to support rules-based countermeasures · Conduct impact analysis and performance monitoring of fraud rules and adjust strategies accordingly · Partner with fraud operations, digital product teams, and tech to deploy, test, and validate rules in production · Evaluate and respond to emerging fraud vectors in digital channels · Translate business problems into analytical solutions with focus on actionable outcomes · Create dashboards and reports to track fraud trends, rule effectiveness, and key performance metrics Must Have Skills: - Ability to approach complex business problems with analytical rigor - Proficiency in SQL, Python, PySpark, R and/or SAS for data analysis and rule simulation - Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc. - Strong problem-solving skills and the ability to think critically under pressure - Excellent communication skills to present findings to both technical and business audiences - Proven ability to work collaboratively in cross-functional teams with excellent interpersonal skills Preferred Skills: - Master’s degree in a quantitative field - Experience in an analytical team within banking or financial services - Experience with anti-fraud and/or anti-money laundering or other risk functions - Experience with real-time decisioning engines or fraud detection systems (e.g., - Actimize, Falcon, other vendor tools/scores like EWS, Trusteer, Sentilink etc. or other in-house platforms) - Understanding of fraud typologies across digital channels - Prior exposure to model governance and fraud rule approval processJob Description
<ul>
<li>Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.</li>
<li>Participates in the data gathering, data processing and data mining of large and complex datasets.</li>
<li>Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.</li>
<li>Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.</li>
<li>May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li>
</ul>
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
<ul>
<li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li>
<li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li>
</ul>
Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit&nbsp;Your PNC Total Rewards.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at <a href="mailto:AccommodationRequest@pnc.com" target="_blank">AccommodationRequest@pnc.com</a>. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. &nbsp;Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
 At PNC we foster an inclusive and accessible workplace. &nbsp;We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
 PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents 
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

<h3>Job Description</h3>
Job Description
The Data Architect for the DeCPTR-Nuclear project is responsible for designing and implementing a secure, centralized data architecture essential for nuclear radiation survivability testing. This role involves creating a robust framework that ensures efficient storage, retrieval, and management of test data, in compliance with ISO 9001 standards and MDA guidance. The Data Architect will collaborate with Data Scientists and Information Systems (IS) Business Analysts to ensure seamless data integration, accessibility, and analysis, supporting the project's strategic objectives and advancement. 
Responsibilities:
<ul>
<li>Data Architecture Design: Develop and maintain a scalable data architecture framework that supports the project's data management needs. </li>
<li>Infrastructure Implementation: Oversee the implementation of data storage solutions, ensuring they are secure, efficient, and compliant with industry standards. </li>
<li>Collaboration with Data Scientist: Work closely with Data Scientist to ensure that the architecture supports advanced data analysis and modeling, providing the necessary infrastructure for data-driven insights. </li>
<li>Collaboration with IS Business Analyst: Partner with IS Business Analyst to design information systems that facilitate data flow, integration, and accessibility across varied platforms and stakeholders. </li>
<li>Data Integrity and Security: Implement best practices for data integrity, security, and compliance, conducting regular audits and updates as necessary. </li>
<li>Optimization: Continuously assess and optimize the data architecture to enhance performance and support evolving project requirements. </li>
</ul>
Requirements:
<ul>
<li>U.S. Citizenship required</li>
<li>Bachelor's Degree required in Computer Science, Information Technology, Data Science, or a related field. </li>
<li>A minimum of 5-8 years of experience in data management, database design, or IT infrastructure, preferably within the defense or aerospace sectors. Proficiency in database technologies (e.g., SQL, NoSQL), data modeling, architectures, cloud services, and big data technologies. Ability to design data models and architectures that support business needs, ensuring data integrity and accessibility. </li>
<li>Certifications
<ul>
<li>Certified Data Management Professional (CDMP) </li>
<li>AWS Certified Solutions Architect or similar cloud platform certifications </li>
</ul>
</li>
</ul>
Preferred:
<ul>
<li>Technical Expertise: Strong understanding of database management systems, data warehousing, and ETL (Extract, Transform, Load) processes. Proficiency in cloud services and big data technologies. </li>
<li>Analytical Skills: Ability to design data models and architectures that support business needs, ensuring data integrity and accessibility. </li>
<li>Communication Skills: Excellent ability to communicate complex technical ideas to both technical and non-technical stakeholders. </li>
<li>Problem-Solving Skills: Proficient in troubleshooting complex data issues and designing scalable, efficient data solutions. </li>
<li>Project Management: Experience with project management methodologies and tools, including Agile or Lean practices. </li>
<li>Compliance: Familiarity with ISO 9001 quality management standards and DoD regulatory requirements related to data management. </li>
</ul>

Data Architect

<h3>Job Description</h3>
Job DescriptionJob Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Senior Platform Applications Scientist Reports to:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; VP, Translational Research FLSA:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exempt Location: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; San Mateo/San Diego Position Summary: At ClearNote Health, we combine novel epigenomic technologies with our innovative machine learning architecture to tackle the most urgent challenges in cancer care. We are looking for a highly motivated and experienced scientist with similar passion to join our mission to develop next-generation non-invasive cancer diagnostics for better patient outcomes. As an accomplished scientist with skill in design and execution of complex multidisciplinary projects toward molecular diagnostic tests in the treatment of cancer, you will contribute to the design and management of projects that employ the company’s novel platform technologies in drug development in collaboration with pharma partners. The projects will enable the company to formulate clinical questions that contribute to the care of cancer patients. Responsibilities:
<ul>
<li>Lead relationships with external collaborators and pharma partners to drive projects from inception to completion. </li>
<li>Lead and manage research projects with pharma partners that address fundamental questions using our state-of-the-art platform technology in diagnostic and therapeutic areas in oncology.</li>
<li>Ensure high data quality and the requisite scientific background and knowledge to navigate the complexity of experimental design and interpretation.</li>
<li>Build a continually expanding knowledge base in cancer biology, biomarker discovery and development.</li>
<li>Work in a collaborative and project-oriented manner with interdisciplinary teams composed of laboratory scientists, data scientists and bioinfomaticians as well as commercial and marketing personnel, and ensure that members contribute to their highest potential. </li>
<li>Ability to manage cross-functional projects and timelines.</li>
<li>Support, nurture, and help close sales opportunities.</li>
<li>Role requires 10% travel.</li>
<li>Exemplify our core values:
<ul>
<li>Put Patients First:&nbsp;Focused on serving patients and their support system, we&nbsp;direct all our efforts toward the area of greatest impact by discovering and building with speed, excellence, and purpose.&nbsp;&nbsp;&nbsp;</li>
<li>Redefine the Possible:&nbsp;We are daring, imaginative, and focused in our pursuit of the next big idea. We take calculated risks to grow our business and improve patients’ lives.&nbsp;</li>
<li>Together We Win:&nbsp;We encourage and challenge each other to achieve the greatest positive impact on those we serve: our customers, patients, colleagues, and stakeholders.</li>
</ul>
</li>
</ul>
Requirements:
<ul>
<li>M.D./Ph.D. or Ph.D. in Oncology, Cancer Biology, Epigenetics and Genomics or related field with 6+ years’ relevant experience in positions of increasing responsibilities with 3-6 years of in industry. </li>
<li>Experience in leading and working in teams with a history of successful project management.</li>
<li>Experience in the field of oncology and its underlying biology, along with genomics and epigenomics expertise, as demonstrated by publications, involving impactful tools or data sets as well as presentations at international conferences.</li>
<li>Understanding existing large data sets and modern tools in cancer genomics for processing and analysis of primary data. Proficiency in programming languages such as R or python is a plus. </li>
<li>Experience in biomarker development or molecular diagnostics in industry is strongly preferred. </li>
<li>Experience with experimental design in population based clinical studies.</li>
<li>An understanding of experimental limitations of next generation sequencing experiments as applied broadly in cancer.</li>
<li>Demonstrated ability to apply these skills to uncover new biological insights.</li>
<li>Excellent interpersonal, teaming, written and spoken communication skills.</li>
</ul>
Individual compensation is determined based on several factors, including job-relevant skills, expertise, and experience; applicable education or training; a demonstrated track record of exceeding expectations; and geographic location. The typical salary range for this position is estimated at $126,000–$164,000 for candidates based in the San Francisco or San Diego metro areas. Exceptions to this range may occur from time to time based on the depth of technical experience and other job-relevant qualifications.Come join us in addressing large healthcare needs through precision epigenomic medicine! &nbsp;
Come join us in addressing large healthcare needs through precision epigenomic medicine!
ClearNote Health is an exciting life science company that is reinventing non-invasive molecular diagnostic testing using next generation epigenomic technologies. We are passionate and dedicated to discovering and developing medicines that will make a significant difference in cancer and other epigenomic-driven diseases. Our technologies provide novel insight and quantitation of human health and disease, with our focus on precision medicine applications improving both clinical and health system outcomes. Our company was founded based on pioneering work in the Stanford laboratory of Stephen Quake, with advisors from Stanford and UCSF.
We look for extraordinary lifelong learners with a passion and growth mindset for these areas, and for combining biological ingenuity with AI and data analysis. Led by a team with decades of experience bringing products from concept to market, we are an equal opportunity employer and value diversity at our company.
We provide generous benefits to all employees including stock options. We are building a world-class company, based in San Diego and San Mateo.
Our commitment to Diversity, Equity, Inclusion, and Belonging:
We celebrate diversity in perspectives and backgrounds, and this is reflected in our innovation, our mission, and values. Our differences make us unique, help us innovate, and allow us to persevere. We strive to achieve representation and inclusion and redefine the possible in patients living longer lives.
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Senior Platform Applications Scientist

<h3>Job Description</h3>
Job DescriptionAbout Mithrl
We envision a world where novel drugs and therapies reach patients in months—not years—accelerating breakthroughs that save lives.
Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks.
We are the fastest growing tech-bio startup in the Bay Area with over 12X YoY revenue growth. Our platform is already being used by teams at some of the largest biotechs and big pharma across three continents to accelerate and uncover breakthroughs—from target discovery to mechanism of action.
Why This Role Matters
It's a rare chance to be at the intersection of AI, science, and design — solving real-world problems with technology that will change the future of scientific breakthroughs and save lives. We believe the future of biotech isn’t just about better algorithms—it’s about making cutting-edge science feel accessible, collaborative, and intuitive. That’s where you come in.
As a product designer, you’ll own the design language of the Mithrl experience, working hand-in-hand with product, engineering, and biology teams to refine the AI co-scientist platform. You’ll help make the experience of talking to your genomics data feel like talking to a colleague. You’ll turn complex biological outputs into delightfully clear interfaces that spark confidence, curiosity, and speed.
What You'll Do
<ul>
<li>
Design elegant, powerful workflows for scientists to ask research questions, explore insights, and navigate complex datasets.
</li>
<li>
Own the end-to-end design process: from user research and wireframes to high-fidelity mockups and polished, production-ready components.
</li>
<li>
Work closely with our founders, AI scientists, and biology team to translate real scientific workflows into intuitive product interfaces.
</li>
<li>
Collaborate with engineering to ensure a smooth and delightful implementation.
</li>
<li>
Evolve and maintain a design system that balances scientific rigor with warmth, clarity, and speed.
</li>
<li>
Talk to users regularly, learn their pains, and advocate for their experience inside the product.
</li>
</ul>
What We’re Looking For
<ul>
<li>
5–7 years of product design experience in a high-growth startup or B2B SaaS product
</li>
<li>
Experience designing for technical users or data-heavy applications (bonus: science, ML, or dev tools)
</li>
<li>
Mastery of Figma (including: motion, prototyping, and interaction design)
</li>
<li>
Ability to move between strategic thinking and pixel-perfect execution
</li>
<li>
Strong sense of visual design, information hierarchy, and UX clarity
</li>
<li>
**Curiosity, persistence, and a drive to understand how things work
</li>
<li>
**High energy, strong work ethic, and a track record of getting things done
</li>
<li>
**Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft
</li>
</ul>
What You’ll Love
<ul>
<li>
Ownership: Design a category-defining AI product from the ground up
</li>
<li>
Purpose: Work on something that accelerates discovery and can save lives
</li>
<li>
Speed: We ship fast, and iterate with real customers
</li>
<li>
People: Join a world-expert team of scientists, AI engineers, and builders obsessed with quality and curiosity
</li>
<li>
Culture: No ego, no red tape. Just smart, kind people solving hard problems
</li>
<li>
Location: Beautiful SF office
</li>
<li>
Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans
</li>
</ul>

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