Overview
Senior Data Research Associate at Jnana Therapeutics. This role is part of the Scientific Computing team, providing software and informatics support for the RAPID platform and therapeutic projects. You will collaborate with lab-based scientists and other computational scientists to support experiments and analyses.
About Us
Jnana Therapeutics, a wholly owned subsidiary of Otsuka Pharmaceutical, is a clinical-stage biotechnology company leveraging its RAPID chemoproteomics platform to discover medicines for challenging-to-drug targets. Jnana focuses on developing oral therapies for diseases with high unmet needs. Located in Boston, Jnana values collaboration, urgency, and belonging.
About the Opportunity
As an Entry-Level Data Scientist, you will contribute to projects that support our mission of discovering new therapies. This role supports the RAPID platform and therapeutic projects by providing software and data support and by collaborating with scientists across disciplines.
Responsibilities
* Collaborate with biologists, chemists, and project leads to understand data needs, develop computational solutions, and translate experimental data into actionable results.
* Clean, process, and analyze experimental and operational datasets using Python, R, or similar tools.
* Create and maintain interactive applications and dashboards (e.g., Shiny, Streamlit) to enable exploration of RAPID datasets and results.
* Help build and support data infrastructure, including databases, ETL pipelines, and data storage solutions.
* Respond quickly to support scientists when processes break or new reports are requested.
* Document workflows to ensure reproducibility of analyses.
Qualifications
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, or a related field.
* 1 to 3 years of relevant experience (preferred).
* Strong programming skills in R (preferred) or Python, with experience in data manipulation libraries (pandas, numpy, tidyverse), interactive data apps (Shiny, Streamlit), and data visualization tools (matplotlib, seaborn, Plotly, ggplot2).
* Experience with relational databases (SQL).
* Experience with cloud platforms (AWS, GCP) and data pipeline tools.
* Exposure to scientific or laboratory procedures and data; demonstrated interest to learn more about the field.
* Familiarity with basic statistical analysis and experimental design as applied to scientific data.
* Excellent communication skills and ability to work collaboratively with scientists in a cross-functional team.
* Detail-oriented with a strong sense of urgency and commitment to data integrity and quality.
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Research
Industries
* Biotechnology
* Pharmaceutical Manufacturing
* Biotechnology
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