Associate Director / Director* Computational Chemistry

South San Francisco, CA /
Chemistry /
Full-time
THE COMPANY
Septerna is an early-stage biotechnology company with a vision to become the industry-leading G protein-coupled receptor (GPCR)-focused R&D company with a portfolio of life-changing medicines. The company’s Native Complex™ Platform recapitulates GPCRs with their native structure, function, and dynamics outside of the cellular environment to enable new technologies for industrial-scale drug discovery for the entire GPCR target class for the first time. Septerna has an emerging pipeline of GPCR-targeted small molecule drug discovery programs, along with growth potential to reach many GPCRs that have been undruggable and unexploited to date. Septerna was launched by scientific founders who have made groundbreaking GPCR discoveries and by founding investor Third Rock Ventures. For more information see: www.septerna.com.
 
Join a multidisciplinary team of colleagues focused on creating revolutionary medicines to address significant needs of patients.  Bring your real self to work every day; grow and learn from a talented team of drug hunters, scientists, and business professionals; and contribute your passion, creativity, and energy to our mission.  At Septerna we embrace diversity of thought, expertise, and background; we share a fearless pursuit of ground-breaking innovations; and our employees learn from each other and succeed as a team.  

THE ROLE
We are seeking a highly motivated and creative computational chemistry expert to develop and support our design efforts across our small molecule drug discovery programs. Reporting to the SVP, Drug Discovery, this individual will be responsible for the computational chemistry strategy, tool selection and workflow to address hit-identification through lead optimization to candidate selection. Applying modern expertise in in silico screening and ligand-based / structure-based design, this individual will be a key contributor to our state-of-the-art approach to apply new technologies to the field of GPCR drug discovery, working within a highly collaborative environment, interfacing particularly with Medicinal Chemistry, Structural Biology and Research Informatics. This will be an outstanding opportunity to collaborate with external computational advisors and an internal team of talented colleagues who all share a passion for developing new therapeutics that will make a difference for patients.  
 
*Title commensurate with experience

QUALIFICATIONS
Ph.D. in computational chemistry, chemical informatics, physical organic chemistry, biophysics, or related field with at least 12+ years of experience; 6 years in a biopharma environment, applying their skills to small molecule drug design. The ideal candidate will have a background in GPCR protein structure and ligand docking. He/she will have the potential to mentor future direct reports based on prior experience and demonstrate leadership qualities directed towards future growth of the function. 

REQUIREMENTS
• Significant experience in computational chemistry drug design and optimization approaches including ligand-based (pharmacophore modeling) and structure-based (docking based on X-ray/Cryo-EM structures and homology models) methods, an appreciation of MD simulation and energy perturbation calculations, and the ability to generate QSAR models (for potency and additional drug property features)
• Contemporary expertise in in silico virtual screening towards hit-id. Data analysis of chemical HTS and DEL-library screens is a plus
• Responsibility to define the appropriate software tools to support project needs with the ability to program and develop custom approaches a plus
• An understanding of small molecule-induced pharmacology. Experience with the GPCR class of receptors, as well as the concepts of orthosteric and allosteric active sites is a plus
• An organic chemistry background with an appreciation of small molecule 3-dimensional conformation
• A demonstrated ability to collaborate with medicinal chemists (to evolve new design hypotheses), structural biologists (to generate structural hypotheses; low-resolution structure refinement a plus), and research informaticians (contributions to the analysis, sharing, and visualization of all data is a plus)
• Outstanding communication skills with demonstrated ability to make effective presentations in a broad range of settings, and strong collaboration, leadership, and organizational skills
• The successful candidate will be motivated to discover new disease-modifying therapeutics for patients and enjoy working in a fast-paced dynamic team environment

We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
Note to Employment Agencies: Please do not forward any agency resumes. The company will not be responsible for any fees related to resumes that are unsolicited.