About Superluminal Medicines:
Superluminal Medicines 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.
Roles and Responsibilities
- Design, execute, troubleshoot, and optimize a range of routine and mechanistic in vitro assays to support drug discovery and target validation efforts.
- Utilize liquid handling automation (e.g., ECHO) for compound management, including preparation of assay-ready plates and compound evaluation.
- Support core lab operations, including routine maintenance and calibration of automation systems and liquid handling platforms.
- Maintain accurate and well-organized experimental records in electronic or paper lab notebooks.
- Perform data analysis and quality control (QC); prepare and upload data for centralized storage and reporting.
- Effectively communicate experimental results—both written and oral—to interdisciplinary project teams including chemists, biologists, and AI/ML scientists.
Qualifications and Experience
- BS/MS in Pharmacology, Biochemistry, Biology, or a related field, with 2–5 years of hands-on laboratory experience in in vitro assay development or drug discovery (biotech or start-up experience preferred).
- Strong technical skills in biochemical, cellular, or biophysical assay development, with proven ability to troubleshoot and optimize experiments.
- Proficiency in mammalian cell culture techniques.
- Experience with assay technologies such as:
- HTRF, AlphaLISA, NanoBiT, NanoBRET, western blotting, flow cytometry
- GCI, SPR, DSF, or related biophysical/biochemical platforms.
- Hands-on experience with automated liquid handling instruments, including:
- ECHO 650, Agilent Bravo, MultiFlo FX, Apricot S3, Tecan D300e, etc.
- Strong analytical and reporting skills, with familiarity in software such as:
- GraphPad Prism, Microsoft Excel, and relevant data analysis tools.
- Highly organized, detail-oriented, and proactive, with the ability to work independently as well as part of a team.
- Strong interpersonal and communication skills; enthusiastic collaborator on cross-functional scientific teams.
- Knowledge of GPCR biology or experience in small molecule drug discovery is a plus.
Key Attributes for Success
- Independent and self-motivated with a collaborative, team-oriented mindset.
- Comfortable in a fast-paced, dynamic research environment with shifting priorities.
- Creative thinker with a passion for advancing novel therapeutic strategies and contributing to high-impact science.
Equal Opportunity Statement:
Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.
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What We Do
Superluminal Medicines is a Boston-based generative biology and chemistry company developing a differentiated pipeline and revolutionizing the speed and accuracy of how medicine is created. Our platform creates candidate-ready compounds with unprecedented speed using a comprehensive combination of deep biology and chemistry expertise, machine learning, and proprietary big data infrastructure. The predict-design-test architecture accurately models protein shapes and designs highly selective compounds to target the precise structural change for therapeutic effect. Our discovery engine is powered by an industry-leading, pharmacokinetic and toxicology in silico prediction capability. With a lead program candidate expected in the near term, our proprietary pipeline validates our platform with initial programs focused on high-value GPCR targets. We’re pleased to be backed by a strong network of investors including RA Capital Management, Insight Partners, NVentures, Catalio Capital Management, Eli Lilly and Company, Gaingels, and Cooley LLP.
