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Scientist, Computational Biology

Cambridge, MA
We make healthy cells invisible to targeted therapies

Targeted therapies work by attacking cells that express particular proteins on their surface. Unfortunately, both diseased and healthy cells often express the same proteins, resulting in collateral damage to healthy cells.

At Vor, we engineer hematopoietic stem cells (HSCs) to lack a biologically redundant target protein, then transplant these cells into the patient.

These eHSCs give rise to generations of new healthy blood cells that are effectively invisible to targeted therapies. Diseased cells displaying the target protein and are then vulnerable to attack. This process potentially broadens the therapeutic window and improves the utility of complementary targeted therapies.

Vor Biopharma is thrilled to have been chosen as the 2019 Xconomy Cell Therapy Platform of the year. We are well-funded by 5AM Ventures and RA Capital, among others. Please visit our website at https://www.vorbiopharma.com/ for more information.

What we value in our fellow Voracians

Passion: Enthusiastically driving our science toward innovative medicines
Fellowship: Fostering genuine bonds of collaboration and mentorship
Humility: Acting selflessly by putting the collective mission first

As an equal opportunity employer, we at Vor Biopharma know that diversity inspires innovation, inclusiveness, and creativity. We invite you to come as you are. All applicants will be considered for employment agnostic to race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Who we are looking for
Vor Biopharma is seeking a Computational Biologist to join our growing computational biology team, focusing on bioinformatics analysis. The successful candidate will work with a group of multi-disciplinary scientists and apply bioinformatics expertise to support the development of innovative cell and gene therapy products.

Key areas of responsibilities:
  • Perform bioinformatics analysis on data generated from gene editing assays (e.g., gRNA design, GUIDE-Seq, and Amp-Seq), and work closely with research teams to deliver outcome and insights
  • Develop bioinformatics pipelines by integrating and extending existing bioinformatics and next-generation sequencing (NGS) tools
  • Streamline the data analysis with workflow management tools (e.g., Snakemake, Nextflow), and scale up the analysis in the cloud environment (e.g., AWS)
  • Partner with research and development teams on project management; provide data-driven recommendations to decision-makers
  • Help the company understand FDA policy and guidance in the bioinformatics area relevant to the regulation of cell and gene therapy products
  • Work with regulatory authorities to standardize the bioinformatics workflow inhouse and prepare scientific study reports for regulatory submission
Qualifications:
  • Ph.D. plus three years of academic/industry experience in Bioinformatics, Computational Biology, Genomics, or other related fields
  • Demonstrated experience in developing bioinformatics tools/pipelines is required
  • Experience analyzing gene editing NGS assays for on-target/off-target prediction and assessment is required
  • Excellent Linux skills and familiar with several programming/analytical languages (e.g., Python, Shell, R)
  • Experience working in the cloud environment (AWS) and Docker-based deployment is preferred
  • Excellent verbal and written communication skills
  • Enjoy working in a multi-disciplinary team to achieve project goals
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