Member of the Technical Staff, Biological Data

About the role

The Role Output is developing a biological reasoning model that learns at the scale and complexity of life, enabling novel drug treatments. This role requires expertise in molecular biology and computational methods.

Responsibilities

• Develop and expand training datasets for biological models, incorporating molecular principles and diverse data sources.
• Design and implement benchmarks to evaluate model performance against real-world molecular phenomena.
• Collaborate with model researchers to determine optimal training data strategies and integration methods across various biological scales and modalities.
• Create rigorous data splitting and evaluation protocols to ensure model generalization and robustness.
• Stay updated with the latest biological data sources, experimental methods, and molecular databases, identifying new training signals.

Requirements

• PhD in computational biology, biophysics, structural biology, chemistry, biochemistry, or a related biological field with 2+ years of post-doctoral or industry research experience.
• Deep understanding of molecular interactions, protein structure, and biological data at the molecular level.
• Experience working with large-scale biological or molecular datasets, including sourcing, cleaning, integrating, and analyzing heterogeneous data.
• Strong programming skills in Python, capable of building computational pipelines for data processing at scale.
• Understanding of what machine learning models require from training data, including coverage, quality, balance, and evaluation rigor.
• Experience with computational biology tools such as structure prediction, molecular docking, or virtual screening.
• Experience training or evaluating machine learning models, particularly on molecular or biological data.
• Publications in computational biology, bioinformatics, or molecular informatics.
• A background in cheminformatics or molecular data analysis.
• Experience working with protein or molecular language models.

Qualifications

• Passionate about computational biology and its potential to solve complex biological problems.
• Ability to think critically about data construction and its implications for model performance.
• Strong communication and collaboration skills, able to work effectively with model researchers and other interdisciplinary teams.
• Commitment to excellence and continuous improvement in the field of computational biology.

Skills

• Python programming
• Data processing and analysis
• Benchmarking and model evaluation
• Data integration and heterogeneity handling
• Machine learning model development and optimization
• Biological data interpretation and analysis

Benefits

Our values include heart, excellence, practicality, honesty, and fun. We offer a competitive salary and equity, excellent medical, dental, and vision coverage, and a supportive, collaborative work environment.

Pay

Competitive salary and equity in a growing, well-funded startup.

Schedule

Flexible schedule to accommodate the needs of the role and the individual.

Our Values

• Heart: We foster a culture of ownership and passion.
• Excellence: We have an unwavering commitment to excellence and continuous improvement.
• Practicality: We value practicality and results-oriented thinking.
• Honesty: We place a high value on honesty and directness.
• Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding, and fulfilling.

What We Offer

• Healthy feedback-focused environment to help you strive and grow.
• Competitive salary and equity in a growing, well-funded startup.
• Excellent medical, dental, and vision coverage.