Bioinformatician / Data Scientist / Computational Biologist focused on RNA Therapeutics
About The Position
The Biologics Research Center (BRC) is seeking a bioinformatician, data scientist, or computational biologist to join the Bioinformatics and Biotherapeutics modeling team in Cambridge, US. This team collaborates closely with experimental scientists to analyze various screening and omics datasets, define and develop data analysis pipelines and tools to support xRNA programs, and enhance technology platforms in the xRNA space. The role involves providing computational, bioinformatic, and statistical support for research and early discovery of RNA therapeutics and RNA platform innovation. You will work in a collaborative, multi-disciplinary environment, translating project needs into bioinformatics solutions, identifying computational requirements, and influencing the introduction and design of new, state-of-the-art analysis techniques and tools for RNA-focused bioinformatics applications.
Requirements
- PhD degree in Bioinformatics, Computational Biology, Cheminformatics, or a closely related discipline, along with a minimum of two years of post-graduate experience, or an MS degree with a minimum of 6 years of relevant work experience, preferably in industry.
- Demonstrated experience working with next-generation sequencing data (Ilumina short reads and/or PacBio/Oxford Nanopore long reads), its commonly used analysis tools, and ability to develop new pipelines and workflows based on business needs.
- Strong domain knowledge in molecular biology, computational genomics and transcription gene regulation and/or post-transcription gene regulation.
- Knowledge and research experience in RNA biology.
- Experience in integrating, analyzing, visualizing data from different -omics sources, high throughput screening and ability to troubleshoot critical issues or problems, determine causes and possible solutions.
- Ability to monitor and stay up to date on developments within the field of sequencing and genomics to actively propose improvements and innovation in current workflows.
- Solid skills in programming languages, i.e. Python and R, and scientific computing with Unix / high-performance computing environment, including software development practices as version control, testing, documentation, etc.
- Strong communication skills (oral and written), ability to multi-task, and to communicate own results also to collaborators with different expertise.
Nice To Haves
- Experience in oligonucleotide therapeutics discovery and/or gene therapy is highly desired.
- Development and application of machine learning algorithms for predictive modeling.
- Knowledge in oligonucleotide chemistry and RNA structure modeling.
- Experience in lab automation and data management.
Responsibilities
- Provide bioinformatics support to xRNA pipeline and technology projects by consistently collecting, analyzing, and integrating in-silico parameters, screening, and omics data to draw relevant and innovative conclusions.
- Independently design, plan, execute, and document complex data analysis, then interpret, summarize, and report findings to help drive decisions and set priorities.
- Follow latest advances in the field, raise awareness, and influence the introduction of novel and state-of-the-art computational techniques.
- Collaborate in a matrix environment, working with scientists and teams in different areas to address projects’ specific needs and quickly adapt to new technologies and changing needs.
- Develop user-friendly applications to make RNA data accessible to bench scientists for broader and repeated use.
- Communicate data and analyses to broad scientific audience, technical and non-technical team members and colleagues.
- Independently identify and lead, or support, the development of innovative bioinformatics solutions in a matrix environment to answer scientific questions with an impact on the development of the next-generation xRNA therapeutics biology and platform.
Benefits
- health, life and disability benefits
- a 401(k) with company contribution and match
- a variety of other benefits
- generous time off package including vacation, personal days, holidays and other leaves
- performance-based cash incentive
- eligibility to be considered for annual equity awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
