Senior Scientist/Principal Scientist, Computational Biology

MOMA Therapeutics is looking for an experienced Senior Scientist/Principal Scientist, Computational Biology 

About MOMA Therapeutics

Unlocking a new target class in drug discovery is no small task: it requires computation to transform data into insights; it requires scientific and technological excellence; it demands a culture of focus, resilience, creativity, and collaboration; and it requires you! At MOMA Therapeutics, we are motivated by a single common goal, to discover and develop the next generation of novel precision medicines for patients through our singular focus: the therapeutic targeting of molecular machines. 

Imagine joining a company where you...

• Will be part of an experienced and resilient team that is collectively unstoppable, trusts one another, and selflessly collaborates
• Will be part of a group comprised of incredible humans who are committed to the discovery of transformative medicines for cancer patients
• Will be part of a company placing computation as a central pillar of its strategy
• Are needed… because the work you will do is critical to the success of the company, and because patients are counting on you

Our computational sciences team is looking to expand our expertise in computational biology.  The computational sciences group is a cross-disciplinary team comprised of computational chemists, computational biologists, data scientists, cheminformaticians, and machine learners deeply embedded in our project teams and making contributions critical to MOMA’s mission. In this role, you will have the opportunity to shape the team and learn new areas of computational sciences by wearing many hats and see drug discovery from all angles.

In this role you will…

• Enhance and drive the computational biology capability and strategy across the discovery organization. This critical and dynamic role requires an exceptional ability to interrogate and refine biological hypotheses using large-scale cancer genomic data
• Implement and advance computational pipelines to analyze functional genomic screens to discover the next generation of targets MOMA will prosecute
• Provide project team support via exploration into target and resistance MOAs, as well as biomarker refinement. It is essential to be agile in this role to provide insight on early target ID to later-stage translational biology.
• Integrate internal and external large-scale datasets to generate unique disease insights, explore drug mechanism of action, and directly impact drug discovery projects
• Collaborate with scientists and teams across the organization to drive the generation of actionable predictions that can be tested in the lab or the clinic. This includes bridging and communicating cross-functionally.
• Regularly present strategy and scientific findings to the scientific and management leadership teams

About you…

• You have completed a Post-doc and have 3-5 years oncology computational biology experience in academia or the pharmaceutical/biotech industry preferably
• You have a PhD in computational biology, bioinformatics, oncology, cellular and molecular biology, or genetics
• You have proven experience in effectively formulating and answering biological questions through computational analyses
• You're known as an expert when it comes to current and emerging public genomic/ proteomic databases (e.g. TCGA, Depmap, String etc)
• You have a solid understanding of statistical/algorithmic principles and are fluent in R, Bioconductor and in one or more additional programming languages (Perl, Python or Java)
• You are comfortable working in multiple computing environments including cloud-based platforms
• You enjoy being in an environment where scientific data rules the day
• You work hard, you are kind to others, and you enjoy being a part of a collaborative team that gets stuff done
• You have an eagerness to participate in monthly potlucks (consuming and cooking) and provide creative potluck theme ideas.

MOMA Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.