High-Throughput Data Gen for ML-Driven Molecule Design

Inceptive; Palo Alto (CA); On-site; USD 135,000 - 240,000; Full time

Benefits offered by this job

30 days paid vacation

Comprehensive health insurance

Quarterly retreats

Learning & Development budget

Job summary

A biotechnology firm in Palo Alto seeks an experienced individual to lead high-throughput data generation for machine learning applications in the design of therapeutic molecules. This role requires collaboration with various experts to optimize experimental assays and analyze biological data. Candidates should have a PhD with extensive experience in molecular biology and strong programming skills. Competitive salary and benefits are offered, including 30 vacation days and remote work options.

Qualifications

• 4+ years of post-PhD experience in industry or research.
• Ability to generate biological data above state-of-the-art.
• Must work in US lab location.

Responsibilities

• Develop high-throughput assays to measure sequence libraries.
• Collaborate with diverse team members for experimental design.
• Analyze and communicate data for AI-based molecular design.

Skills

Problem-solving

Scientific programming in Python

Knowledge of molecular biology

Experience with multiplexed assays

Data analysis of sequencing platforms

Education

PhD in a relevant field

Tools

Python

Illumina

Oxford Nanopore

Pac Bio

Job description

A biotechnology firm in Palo Alto seeks an experienced individual to lead high-throughput data generation for machine learning applications in the design of therapeutic molecules. This role requires collaboration with various experts to optimize experimental assays and analyze biological data. Candidates should have a PhD with extensive experience in molecular biology and strong programming skills. Competitive salary and benefits are offered, including 30 vacation days and remote work options.