Senior Associate, Bioinformatics/Computational Biology, Discovery

Location
Cambridge, MA
Posted
Jun 04, 2021
Ref
4011186004
Hotbed
Genetown
Required Education
Bachelors Degree
Position Type
Full time

About Us…

Obsidian Therapeutics is pioneering engineered cell and gene therapies to deliver transformative outcomes for patients. Obsidian’s programs apply our CytoDriveTM technology in Cell and Gene therapy products to control expression of proteins for enhanced therapeutic efficacy and safety.  

Located in the heart of Cambridge, we’re proud of our diverse talented team and committed to cultivating an environment of inclusion where each person feels a strong sense of belonging and is supported to continuously learn and contribute their best work. We offer competitive salary and benefits, and potential for employee ownership through stock options.

Our Opportunity…

We are looking for a scientist with a strong background in bioinformatics / computational biology or related field to contribute to building Obsidian’s computational biology capabilities. The successful candidate will contribute to the execution and maintenance of data analysis pipelines to support research programs and the Discovery team’s functional screening platform. This role will be highly-collaborative with other multi-disciplinary scientists, providing critical analytical support to help advance the Discovery team’s target identification, lead optimization, and platform development.

This is a unique opportunity in a well-funded early-stage company with blue chip investors, field-leading advisors, and a highly experienced team. You will help us build a dynamic, innovative, passionate, collaborative, and successful organization focused on delivering transformative therapies in areas of greatest clinical need.

You Will…

  • Manage the execution of analyses for routine screening assays that use sequencing data by running, maintaining, and updating analytical pipelines
  • Ensure data and analysis quality using quality-control measures along with data management practices
  • Effectively communicate analysis results and interpretations with key stakeholders using high-quality reports in a timely manner
  • Assist with performing ad hoc analyses for research projects
  • Exercise standard code-management practices, while maintaining analytical documentation and study reports in Electronic Notebook entries
  • Collaborate effectively across Obsidian organization to support ongoing research projects by contributing analytical insights, requirements, workflows and presenting internally to project teams, management, and scientific teams

 

You Bring…

Core Qualifications

  • MS degree in Computational Biology/Bioinformatics, Bioengineering, Computer Science or a related field, OR a BS degree in one of the above areas with equivalent capabilities and relevant work
  • Experience with commonly used programming languages for bioinformatics analysis, such as Python, R, and shell scripting.
  • Exposure to standard NGS data analysis tools and pipelines (QC, alignment, secondary data analysis, enrichment analysis)
  • Experience with Unix-based systems, source version control (e.g. Git) and cloud computing environments and tools (e.g. AWS, Azure, docker)
  • Highly organized with strong record keeping and an ability to manage multiple tasks in parallel
  • Highly collaborative working style and ability to adapt in a fast paced, rapidly developing environment
  • Ability to work with general direction to meet objectives and timelines, adapting to changes and priorities in order to fulfill our mission

Bonus Qualifications

  • Experience in cancer genomic data analysis along with familiarity of public databases (e.g., Ensembl, Hapmap, UCSC), tools (e.g., cBioPortal), and resources (e.g., CCLE, TCGA)
  • Drug development experience in a matrixed environment
  • Experience with ELN platforms (e.g., Benchling)

Obsidian is proud to be an equal opportunity employer, cultivating a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics.