Computational Biologist

Momentum Biotechnologies (“Momentum”) is a specialized mass spectrometry services provider and discovery partner to pharma, biopharma, biotech, and gene therapy clients. Our core team of MIT scientists and engineers has been working together since 2000 when they built the RapidFire technology (acquired by Agilent in 2011) and have been serving clients using RapidFire-MS since 2004. Since then, we have continued to combine cutting-edge mass spectrometry technology and creative problem solving to address our clients’ toughest assay challenges.

We are the leading provider of solution phase Affinity Selection Mass Spectrometry for RNA and protein targets. We help clients identify leads for novel mechanisms of action such as protein degradation, induced proximity, protein-protein interaction disruption (ASMS), and irreversible binding (Covalent Screening). We offer functional screens on RapidFire-MS, potency assays, and biomarker quantification and can additionally support Cell and Gene Therapy applications through ICP-MS analysis.

Role Description

At Momentum, we are rapidly scaling our business and service offerings and are seeking a high-performing professional to be a Computational Biologist. The Computational Biologist will lead Momentum’s data science efforts and craft/execute custom data analysis pipelines to derive/communicate insights from data generated by Momentum’s proteomics and other service offerings. They will work closely with the executive team and support various internal and external company initiatives. This role is based at Momentum’s headquarters in Billerica, Massachusetts.

Main Responsibilities

• Generate and communicate insights derived from proteomics and other experiments to clients and support additional analysis requests.
• Work with the Director of Proteomics to understand and meet client goals, ensuring experimental setup of proteomic experiments is conducive to high-quality data analysis
• Work with the VP of Software Engineering to build custom data analysis pipelines for proteomics and other service lines, including generating client-facing reports and visualizations.
• Proactively assess customer needs on an ongoing basis and lead solution development efforts to best address unmet needs.
• Manage multiple client projects simultaneously, give clients regular progress updates, and meet all client deadlines.
• Stay on top of developments in the field to ensure clients have access to cutting edge analytical methods.

Key Requirements

• PhD in Analytical Chemistry, Biochemistry, Bioinformatics, Computational Biology or a related field and a track record of academic and professional achievement.
• Three to Five years of relevant experience in a computational biology or bioinformatics role in the life sciences industry focused on proteomics data analysis.
• Strong self-initiative and persistence with a bias for action, enthusiasm for taking on new projects and operating independently in a fast-paced growth environment.
• Ability to handle multiple projects simultaneously and determine priorities.
• Excellent organizational, time management and communication skills and the ability to work effectively and independently in an interdisciplinary, team-oriented, collaborative, high-performance environment.
• Strong analytical skills, particularly in breaking down complex and ambiguous problems.
• Familiarity with implementing machine learning algorithms for proteomic data analysis
• In-depth knowledge of proteomics techniques, workflows, and data formats combined with natural curiosity and ability to ramp up quickly in new areas, leveraging the expertise of others.
• Proficiency in Python and analysis tools like Proteome Discoverer, Biopharmafinder, Spectronaut, Skyline, DIA-NN, MaxQuant.