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Data Scientist, Novasenta



As a Data scientist you will support data analyses efforts of Novasenta Inc. Specifically, you will develop and apply cutting-edge machine learning methods to analyze biological datasets to help develop novel insights towards discovering novel cancer-related therapies.


• Works with computational biology and systems immunology teams to analyze biological datasets by developing, optimizing and implementing machine learning (ML) models, applied to scale.
• Implement metrics to verify model and algorithm effectiveness.
• Automate model training, testing and deployment and ensure proper code documentation.
• Keep up with emerging trends in ML, Deep Learning (DL) and Natural Language Processing (NLP).
• Produces reports and presentations and reports to the leadership of the computational biology and systems immunology teams.
• Communicate results of data analyses to the broader Novasenta team.
• Supports the computational biology and systems immunology teams in developing analytical tools for the interrogation and management of clinical and non-clinical datasets.
• Ensures adherence to HIPAA standards.
• Must be willing to work flexible hours as necessary, and work beyond 40 hrs is likely to be required.

What we offer you:

•Competitive pay and benefits package.

•A fast-paced startup culture combined with the stability of a well-established entity (UPMC).

•Work with some of the leaders in the immunotherapy and cancer field.

•Opportunity to be part of a growing, dynamic and diverse team of highly skilled professionals discovering novel cancer therapies and making an impact on patient care.


• MS or PhD in computer science, bioinformatics, statistics, physics, engineering or a related quantitative field.
• 2+ years work experience in developing and applying ML algorithms to high-dimensional datasets.
• Good understanding of ML fundamentals, modern ML libraries, DL and NLP techniques and working knowledge of bioinformatics and biological concepts.
• Proficient in Python and/or R scripting.
• Expertise in ML/DL frameworks like Pytorch, TensorFlow, Keras, Scikit-learn/Caret.
• Demonstrated ability to write high-quality, production-ready code.
• Experience with version control systems like GIT.
• Self-motivated, organized, goal oriented, team player focused on a career in biotech.
• Demonstrated ability to adhere to and follow defined timelines, milestone, and objectives.
• Able to deal with uncertainty and solve problems creatively and independently with solid judgement.

Experience with biological datasets (single-cell or bulk RNAseq, DNA, next-generation sequencing) is highly desirable.
• Experience with cloud computing (e.g. AWS).
• Experience with relational databases and SQL.
• Knowledge of cancer biology and immunology.

Licensure, Certifications, and Clearances:

UPMC is an Equal Opportunity Employer/Disability/Veteran

Location: Pittsburgh, PA, United States
Job ID: 019253627

UPMC is an equal opportunity employer.
Minority / Females / Veterans / Individuals with Disabilities