Scientist, Computational Biologist*

  • Cambridge (Boston)
  • Junior, Career start
  • Work experience
  • Research, development, teaching
  • Technical occupations (other)

Scientist, Computational Biologist*

Become Part of the BioNTech Family.

Based in Cambridge, MA, BioNTech US serves as BioNTech’s North American headquarters and is an important part of our global effort to pioneer the development of next-generation immuno-oncology therapies. BioNTech US is a fully integrated subsidiary with a strong foundation in Europe and a focus on the development of novel neoantigen-targeted T cell therapies, complementing BioNTech’s highly innovative scientific approach and diversified pipeline of transformative cancer medicines. As a key research and clinical development hub, BioNTech US will enable BioNTech’s growing presence in the US.

At BioNTech US, our Computational Biologists are at the heart of the research. We are seeking an innovative, collaborative, and enthusiastic computational biologist to work with us on a variety of high-dimensional bioinformatics projects centered on target identification, drug discovery, and translational research. The individual will integrate clinical and research datasets, including mass spectrometry and next-generation sequencing data. The successful candidate will develop novel methods, analysis strategies, and tools to filter and distill multi-dimensional datasets to focused hypotheses to drive clinical and discovery research. A critical component of the role will be close collaboration with multi-disciplinary internal discovery teams and external collaborators from across the fields of oncology, immunology and clinical research. At BioNTech US, we are at the cutting-edge of immunotherapy research, emphasizing participation in conferences and authorship of high-impact publications. Our new computational biologist will be a critical thought leader in the company, collaborating closely with discovery and development scientists.

Here, you’ll achieve greatness.

Supporting BioNTech’s R&D team in the US by:
  • Establish best-practices for the generation and bioinformatic analysis of diverse NGS and non-NGS datasets, including single-cell omics, WES, RNA, cell-free DNA and targeted sequencing, as well as flow-cytometry and mass spectrometry data. These analyses will be applied to identify novel therapeutics targets and characterize patient responses to treatment.
  • Conduct correlative analysis of patient outcomes, phenotypes, and immune readouts with diverse high dimensional data types to identify biomarkers and mechanistic hypotheses about response and resistance to novel immunotherapies.
  • Enhance computational analysis of bulk and single-cell T cell repertoires to assay immunogenicity, characterize immunological responses and as a biomarker.
  • Enhance molecular characterization of tumors for both clinical and research setting by designing and evaluating novel integrative approaches to the analysis of NGS cancer exome and transcriptome data
  • Develop innovative, robust, analysis pipelines that can be applied in research and clinical settings
  • Liaise with lab scientists and software engineers as a project team member and provide expertise as a scientific resource for key company programs
  • Identify, develop, manage, and contribute to external collaborations and partnerships
  • Provide guidance on experimental design and data interpretation by liaising with lab scientists
  • Serve a project team member and a scientific resource for key company programs

What you have to offer.

  • Ph.D. in bioinformatics, computational biology, systems biology or a related discipline with a strong record of publications/patents is required.
  • Experience developing and optimizing NGS-based software for cancer and/or immunology research (e.g., variant calling, gene expression, epigenetic analyses, single-cell sequencing approaches).
  • Fluency in SAM/BAM file format specifications and other standard bioinformatic formats.
  • Proficiency with the following: 
    • Use of Linux in a cluster-computing environment.
    • Experience applying statistical fundamentals to biological datasets.
    • Fluency in Python and/or R (strictly required).
  • Experience integrating diverse NGS and non-NGS data sets to identify cancer drivers, predictive biomarkers, or mechanistic hypotheses
  • Experience with mining public data sets, such as TCGA, GTEx, and CCLE
  • Demonstrated ability to formulate and test hypotheses by designing and implementing novel computational approaches
  • Capacity to prioritize and work independently to complete tasks and advance projects with minimal supervision
  • Ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs
  • Strong written and verbal skills; ability to translate and communicate complex information and concepts for scientists of diverse backgrounds
  • Positive and collaborative attitude; ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs
  • Capacity to prioritize and work independently to complete tasks and advance projects with minimal supervision
  • Creative and innovative thinking; track record of thought leadership
 Preferred Qualifications
  • Familiarity with the basics of immunology
  • Expertise analyzing gene expression signatures, especially as they relate to tumor purity and infiltration of immune cell types
  • Previous experience implementing neural networks, logistic regression, and other machine learning approaches.

Benefits for you.

BioNTech US is committed to the well being of our team members and offers a variety of benefits supporting our diverse employee base. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:
  • Medical, Dental and Vision Insurance
  • Life, AD&D, STD and LTD Insurance
  • HSA & FSA Spending Accounts
  • Health & Wellness, including free onsite gym access
  • Adoption & Surrogacy Assistance
  • Vacation and Unlimited Sick Time
  • Holidays and Floating Holidays, including discretionary winter shutdown
  • 401(K) Plan with Significant Company Match
  • Tuition Reimbursement and Professional Development
  • Commuting Assistance and free onsite parking
  • Discounted Home and Auto Insurance
  • Pet Insurance
Plus more benefits that will be shared upon hire!

Have we kindled your pioneering spirit?

Then apply now for our location Cambridge (Boston) and simply send us your application documents using our online form.

For those who require assistance due to disability, or have questions prior to applying, please email careers@join-us.biontech.de.

*BioNTech does not differentiate on the basis of gender, race, religion, color, origin, sexual orientation, disability, age and other protected status as required by applicable law. We are committed to creating a diverse environment and are proud to be an equal opportunity employer.

BioNTech - As unique as you

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