We’re seeking a Drug Discovery Data Scientist to join us in our mission to improve human health and quality of life!

As a member of our Therapeutics group, you’ll join a team of about 90 scientists that includes designers, modelers, computational chemists, medicinal chemists, crystallographers, biochemists, and biologists. Our team is also supported by over 100 software developers and engineers. Four of the programs Schrödinger has worked on in the past seven years have progressed into the clinic and one has received FDA approval.

Who will love this job:

• An independent worker who understands fundamentals of genomics, enzyme inhibition, receptor agonism/antagonism, and the drug discovery process
• A proficient scripter (e.g., shell, Python, R) who’s worked in Linux/UNIX environments
• A motivated learner who’s willing to take on new challenges and accept constructive criticism
• An experienced user of open-source visualization or modeling software
• A collaborator who’s comfortable reaching out to others to clarify and refine research requests in an iterative and interactive process of discovery, evaluation, and goal adjustment

What you’ll do:

• Research, curate, and prepare computational chemistry and genomics data sets, as well as compile, clean, and summarize results and metadata
• Find, prepare, and maintain data, which could include:
• processing proprietary data and information according to guidelines  
• managing data on Google Cloud Platform 
• collaborating with key internal or external advisors to determine what data they need
• collecting key data by using a wide variety of public and paid scientific sources
• documenting collection and data transformation work
• Support data-related technical issues

What you should have:

• A Bachelor’s degree in a STEM field
• Robust proficiency in data visualization tools (e.g. Tableau, Power BI, Looker etc.)
• Experience with any of the following is a plus:
• Data management and analysis libraries in Python and/or R (e.g., Pandas, Numpy, Scipy)
• Cloud compute and storage platforms, especially GCP
• Version control (e.g., Git)
• Data Engineering platforms and pipelining tools such as Apache Airflow
• Cheminformatics and/or bioinformatics tools (e.g. RDKit, FastQC)
• Online sources of scientific information (especially NCBI PubMed, RCSB PDB, UniProtKB, EMBL-EBI ChEMBL, SciFinder, Reaxys)
• FStereochemistry

Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been selected as one of Crain's New York Best Places to Work for the past three years running.

Sound exciting? Apply today and join us!

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.