Senior/Scientist I - Computational Biology and Machine Learning (2192-R-670-CBIO)

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Job description

ArsenalBio's mission is to develop efficacious and safe cellular therapies for patients with chronic diseases, initially cancer. Our products are being designed to herald the transition of adoptive cell therapy from a hospital based treatment to outpatient therapy, like most other cancer treatments.

Our people are our greatest asset, they bring scientific talents in molecular biology, immunology, pharmacology, protein chemistry, computational biology, automation, genome engineering, software and other fields to make the future happen now.

ArsenalBio is looking for a highly motivated individual to join the Computational Biology and Machine Learning group at the level of Scientist I or Sr Scientist I (title will be dependent on experience). You will work closely with an interdisciplinary team of scientists and engineers to develop algorithms, models, and computational workflows to analyze large amounts of data from a variety of technologies. By addressing challenging problems in synthetic and molecular biology, immunology, and high throughput assays, you will meaningfully contribute to accelerating the development of curative cell therapies against cancer and will have a direct impact to patients' lives.

What You Will Do:

• Analyze data from next generation sequencing assays (eg. RNA-seq, single-cell RNA-seq, ATAC-seq), flow cytometry, or other related technologies.
• Develop machine learning or statistical methods to extract insights from large screening experiments.
• Work closely with ArsenalBio scientists across different functions and disciplines to rapidly iterate through the cycle of experimental design, hypothesis testing, data collection, and interpretation.
• Assist with experimental design, for example through modeling or simulations.
• Help productionize computational workflows so that they can be executed in a robust and reproducible manner.
• Develop visualization tools.
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What You Will Bring:

• PhD (or MS and equivalent industry experience) in Bioinformatics, Computer Science, Electrical Engineering, Statistics, Biomedical Engineering, Biology, or a related field.
• Demonstrated ability to apply data analysis and engineering skills to answer biological questions.
• Hands-on experience analyzing next generation sequencing data and/or flow cytometry data.
• Ability to work collaboratively and communicate effectively in an interdisciplinary environment.
• Proficiency in Python or R.
• Experience working in Linux environments.
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Additional Desired Skills:

• Familiarity with cloud computing environments and version control systems (eg. git).
• Experience developing machine learning algorithms for real-world datasets.
• Familiarity with cell therapy or immunotherapy will be appreciated, but not required.

We are committed to hiring the best talent from diverse backgrounds. A diverse workforce engenders richness of thought, creativity and discovery. We invite individuals who embrace intellectual achievement to bring their unique personal and professional journeys and together we will build transformative cell therapies for cancer patients.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To all recruitment agencies: ArsenalBio does not accept agency resumes. Please do not forward resumes to our jobs alias, or Arsenalbio employees. ArsenalBio is not responsible for any fees related to unsolicited resumes.