1-617-500-6690 [email protected]
  • Full Time (Salaried)
  • , MA 02139

Company:  Confidential

Job Title: Senior/Principal Scientist, Target Computational Biologist

Job Number: 31971

Location: , MA 02139

Job Description

We are looking for a passionate and collaborative Target Computational Biologist to join our Data Science team and work with an enthusiastic team of highly skilled scientists in a dynamic, high growth company. This position reports to the Head of Data Science. The successful candidate will have a strong background in analysis of target prioritization, data analysis, data integration, and data visualization.


  • Conducting analysis across multiple target-related datasets. Carry out statistical analysis of the data, and meta-analysis / integrative analysis across various datasets.
  • Conducting data mining of public data resources (ClinVar, GEO, GWAS catalog) and commercial resources / consortia data (UK Biobank, Finngen). Preparation of a data pipeline for analysis / visualization.
  • Collaborate with disease and portfolio team leads in regular target review programs.
  • Building our understanding of target to pursue, as well as off-target analysis to help avoid unwanted side effects.
  • Interact with multidisciplinary project teams as the target data science subject-matter expert. Devise target-centric solutions and apply findings to lead research efforts towards the right targets, and right oligos to engage these targets.
  • Partnering with the software engineers in the DS and IT groups to create an environment for automated target review.
  • Collaborate on project teams and clearly articulate to team members the target/biomarker rationale, how they will advance goals, and what stage they are at in the discovery process.

Required Skills

  • PhD with thesis research in Bioinformatics, Genetics, Genomics, Statistics, or related fields
  • 3+ years of postgraduate work experience in academic or biotech setting
  • Proficiency in the use of data science related programming languages such as Python or R
  • Expertise in computational / statistical analysis and integration of target-related data
  • Familiarity with diverse databases and resources for target prioritization, disease characterization, and biomarker analysis (e.g. UK Biobank, FinnGen, ClinVar, GEO, SRA, Open Targets, etc.)
  • Experience in bioinformatics/genomics pipelines use and implementation
  • Ability to present concepts and data to varied audiences that help drive decision-making
  • Excellent organizational skills, effective manager of tasks and projects
  • Optional experience with / working knowledge of chemistry (in a drug discovery setting)
  • Optional experience with ELN (such as Benchling), LIMS, or other related informatics platforms

Additional Preferred Skills:

  • Experience with regulatory submission requirements for preclinical and early clinical development.
  • Gene therapy, gene editing, and/or oligonucleotide-related experience is a plus.
  • Solid understanding of drug metabolism, bioanalysis, pharmacokinetics, preclinical pharmacology, PK/PD modeling and clinical study designs.
  • Ability to operate objectively and independently as a leader and as a member of a team.
  • Excellent written and communication skills to a variety of levels/teams- internally and externally.
  • Detail-oriented, with good organizational, prioritization, and time management proficiencies.
  • Must be able to work on multiple projects simultaneously.


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