Target ID Senior Scientist (Computational Biology)

About Superluminal Medicines:

Superluminal Medicines (Superluminal) is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.

About the Role:

Superluminal is seeking a highly motivated, intellectually curious, and team-oriented Senior Scientist who will contribute to our technology-enabled drug discovery programs by assuring the existing pipeline is positioned appropriately against the evolving competitive landscape as well as generating validation for novel therapeutic target hypotheses. As a key member of the Target ID team, the candidate will apply a deep understanding of biological processes and drug discovery combined with expertise in computational biology/Machine Learning (ML) while working with public and proprietary datasets (multi-omics, GWAS, clinical and/or live birth genetic data) to uncover target-disease links.

This role partners closely with team members and colleagues across the organization to continuously monitor the competitive landscape for Superluminal’s existing pipeline, identify and evaluate strategic opportunities, review licensing and strategic partnering options, guide program prioritization, and generate go/no-go criteria. The position will report directly to the Target ID Team Leader. This individual will play a critical role in maximizing the potential of Superluminal’s existing drug discovery programs and defining opportunities for further growth.

Key Responsibilities:

• Work with the other members of the Target ID team to identify, evaluate, and validate value-creating new drug discovery target opportunities and maximize the target product profile of the existing pipeline
• Use computational biology methods to review proposed collaborations, licensing, and strategic partnerships, including due diligence, drafting, and providing scientific input for Target ID team recommendations
• Develop a compelling rationale for the expansion of the product pipeline by utilizing in-depth scientific research data, and machine learning capabilities applied to new target identification
• Work cross-functionally to monitor Superluminal’s product portfolio, including researching and updating target product profiles for each program, and aligning strategic priorities with portfolio planning and prioritization. Continuously contribute to scenario planning and risk assessments
• Provide input to support new therapeutic focus ideas and program prioritization in partnership with team members and cross-functional teams
• Develop and implement competitive intelligence tools to support pipeline priorities and new target selection
• Support discovery research and ML operations across a fast-growing start-up organization
• Collaborate closely with other discovery team members and colleagues to advance Superluminal’s science-driven platform and assist with decision-making for target prioritization

Qualifications & Skills:

• 3-5 years experience in research in the biotech and/or pharmaceutical industries, including new target identification and managing aspects of a small molecule drug discovery program
• Familiarity with computational biology applied to small molecule drug discovery programs with a basic understanding of associated disciplines, e.g. DMPK, toxicity/safety assessment, and medicinal chemistry