Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
About the role
- Postdoctoral Data Scientist analyzing high-dimensional omics data to support oncology drug development at Johnson & Johnson. Collaborating with experimental teams and contributing to scientific publications.
Responsibilities
- Perform comprehensive computational analyses of single-cell and spatial transcriptomics datasets to characterize the tumor microenvironment in bladder cancer.
- Apply advanced statistical and machine-learning methods to identify biomarkers, immune cell states, and biological mechanisms associated with BCG immunotherapy response.
- Integrate multi-modal datasets, including scRNA-seq, spatial transcriptomics, bulk RNA-seq, proteomics, and clinical metadata, to achieve a systems-level understanding of tumor–immune interactions.
- Incorporate imaging and pathological covariates alongside molecular data to generate clinically interpretable insights and inform treatment strategies.
- Lead the synthesis of computational findings into clear, compelling scientific narratives and drive manuscript preparation for submission to high-impact journals.
- Collaborate closely with experimental scientists and clinical teams to interpret results, refine hypotheses, and guide translational research directions.
- Present findings internally and externally at scientific meetings and seminars.
Requirements
- PhD in Computational Biology, Bioinformatics, Data Science, Systems Biology, Biostatistics, or a related quantitative discipline.
- Strong experience analyzing high-dimensional omics data (e.g., single-cell RNA-seq, spatial transcriptomics, bulk RNA-seq).
- Proficiency in computational programming languages such as R and/or Python.
- Demonstrated ability to work independently on complex data analysis projects and communicate results clearly.
- Strong scientific writing skills and a track record for first-author publications.
Benefits
- Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.
BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.
Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.