About this position

Joining a team with leading expertise in targeted protein degradation, you will be instrumental in bringing the power of AI, machine learning, and other advanced computational methods to drug discovery in this exciting field.

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Responsibilities

• Play a vital role in the development, application, and upkeep of workflows focusing on predictive computational structural biology/chemistry, such as predicting protein complex structures, protein-ligand interactions, and compound properties.
• Stay abreast of the progress in computational structural biology and artificial intelligence (AI) through proactive literature surveys and code evaluations. Offer strategic recommendations to infuse new techniques and resources into our projects, ensuring they benefit from the latest advances.
• Effectively provide computational insights and expertise within our cross-functional teams to support project goals and timelines.
• Contribute to our company's scientific impact by participating in the creation of scientific publications, patents, and presentations.

Required Qualifications

• PhD in Computational Biology, Computer Science, Data Science, Systems Biology, or related quantitative fields. Alternatively, MS in the above fields with 3+ years of relevant industry experience.
• Minimum of 2 years of experience in protein structure analysis, including familiarity with the Protein Data Bank (PDB) and related data formats.
• Proficient in data analysis in Python and/or R.
• Strong background in machine learning and deep learning, demonstrated through practical applications and fluency in frameworks such as PyTorch, Tensorflow, Keras, or Scikit-learn.
• Experience in structure prediction and/or computational design of biomolecules and strong motivation to keep up with the latest advances in these fields. Familiarity with representative methods such as AlphaFold2, ColabFold, Rosetta, RFdiffusion, and ProteinMPNN.
• Proven ability to communicate and collaborate effectively within multidisciplinary teams with non-computational colleagues.
• Experience contributing to computational projects in a collaborative setting, with a strong commitment to the FAIR principles of data stewardship. Proficient in related skills such as Git and Docker.
• Enthusiasm for data visualization and demonstrated skills in effective data-driven decision making.
• Familiarity with cloud computing environments; AWS experience is strongly preferred.

Preferred Qualifications

• Strong publications record, with first-author papers in top scientific journals or conferences.
• Experience applying machine learning to chemistry problems, such as predicting compound properties or protein-ligand affinities. Strong preference for knowledge of Graph Neural Networks, Geometric Deep Learning, or Generative Models.
• Familiarity with workflow languages in bioinformatics; Nextflow is preferred.
• Basic understanding of relational databases.
• Skills related to web development, such as Javascript, and their usage in effective data visualization.

What we offer

• Industry competitive compensation
• Annual target bonus
• Stock options
• 401K plan
• Career advancement opportunities
• Monthly town halls to share business and scientific updates

Work Hard, Stay Well

• Comprehensive medical, dental, and vision plans for employees and their dependents
• Health and Dependent Care FSA and HSA Plan with monthly Neomorph contribution
• Employee Assistance Program
• 10 holidays + Winter Shutdown + 3 weeks of vacation time with additional accruals after 2nd year of employment, separate sick leave.
• Supplemental pay for Pregnancy Disability Leave
• Paid Parental Leave for employees with a newborn child or a child placed with them for adoption or foster care

Lifestyle

• Casual work environment
• Volunteer days off each year to spend time contributing to causes you care about
• Flexible work schedule
• Access to onsite gym
• Onsite space to store your bicycle (or surfboard)

Have Fun!

We believe in work/life balance and Fun is at the core of our Core Values. In addition to weekly happy hours, we have regular company-wide and department lunches and social events (ie Padres games, summer picnic, holiday party, bring your kids to work day).

About Us:

Neomorph is a venture backed biotechnology company solving critical problems in human health through the discovery and development of innovative new medicines against ‘undruggable targets’. Our team is comprised of industry leading experts in protein degradation and molecular glues who have a track record of ground-breaking discoveries in the field. We are committed to leadership in advancing the science and technology of molecular glue drug discovery, while prosecuting a pipeline of projects through clinical development. Our patient-first, science-driven approach is complemented by our dedication to a supportive and collaborative work environment.

Neomorph is headquartered in San Diego, California, and has a key collaboration with the Center for Protein Degradation at the Dana-Farber Cancer Institute.

Neomorph is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of any characteristic protected by applicable federal, state or local law.