Data Analyst / Sr. Data Analyst

Neomorph•San Diego, CA

22h

About The Position

Neomorph is pioneering the discovery and development of molecular glue therapeutics — small molecules that selectively induce protein–protein interactions to degrade or modulate disease-causing targets. Our mission is to unlock a new class of medicines by combining cutting-edge biology, chemistry, and data science to solve some of the most challenging problems in drug discovery. We operate at the intersection of experimental science and quantitative rigor. Data is central to our platform — from high-throughput screening and proteomics to structure-guided design and translational research. Our ability to extract insight from complex biological data directly accelerates therapeutic discovery. Position Overview We are seeking an early to mid-career Data Analyst with strong quantitative training to support our scientific teams working in the molecular glue discovery space. Projects will focus on developing automated analysis methods that support large scale screening studies to identify new candidate compounds. This role is ideal for someone with an advanced degree in the mathematics sciences or related quantitative discipline who is excited to apply rigorous analytical methods to biological and experimental datasets. In this highly collaborative role, you will partner closely with biologists, and chemists, as well as receive mentorship from principal level data scientists.

Requirements

Sr. Data Analyst: Master’s or PhD degree in the mathematics sciences (e.g., mathematics, applied mathematics, operations research, statistics, data science)
At least 3 years of relevant professional or research experience
Data Analyst: Master’s degree in the mathematics sciences (e.g., mathematics, applied mathematics, operations research, statistics, data science)
0 - 3 years of relevant professional or research experience (graduate level research, post-docs, industrial internships, or similar will be considered)
Both levels: Strong programming skills in Python, R, or similar statistical languages
Solid understanding of statistical inference, regression modeling, and experimental design
Familiarity with SQL and working with structured datasets
Ability to communicate quantitative findings clearly to scientific collaborators
Passion for applying your quantitative skills set to scientific research, which has been demonstrated through course work, research, or prior work experience
Eagerness to work collaboratively in a team-oriented environment

Nice To Haves

Exposure to biological data analysis (e.g., omics data, screening assays, bioinformatics)
Experience with visualization tools or interactive dashboards
Familiarity with machine learning approaches
Exposure to software development tools (e.g., version control, IDEs, containerization, cloud services, project management)

Responsibilities

Analyze high-dimensional biological datasets (e.g., screening data, assay readouts)
Develop reproducible workflows in Python, or similar tools to clean, transform, and analyze experimental data
Apply statistical modeling and hypothesis testing to evaluate experimental outcomes
Build dashboards and visualizations to communicate findings to cross-functional scientific teams
Partner with scientists to translate research questions into analytical frameworks
Contribute to building scalable data infrastructure and analytical standards across drug discovery programs

Benefits

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 department and company 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).