Drug Discovery Data Scientist

Posted on 9/24/2023

INACTIVE

501-1,000 employees

Computational platform for biopharmaceutical research and drug discovery

Company Overview

Schrödinger stands out for its robust computational platform that is widely utilized by various sectors, including biopharmaceutical and industrial companies, academic institutions, and government laboratories globally, demonstrating its broad applicability and industry leadership. The company's commitment to investing in science and talent underscores its culture of continuous learning and growth. Furthermore, Schrödinger's active engagement in drug discovery programs across multiple therapeutic areas showcases its technical innovation and competitive edge in accelerating the development of new materials.

Company Stage

Grant

Total Funding

$567.2M

Founded

1990

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↑ 3%

1 year growth

↑ 11%

2 year growth

↑ 39%

Locations

Portland, OR, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Google Cloud Platform

Git

Airflow

Linux/Unix

NumPy

Pandas

Python

CategoriesNew

Data & Analytics

Requirements

An independent worker who understands genomics, enzyme inhibition, or receptor agonism/antagonism
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
A Bachelor's degree in a STEM field
Demonstrated work experience with cloud compute and storage platforms, especially GCP
Data management and analysis libraries in Python and/or R (e.g., Pandas, Numpy, Scipy)
Data communication/visualization
Familiarity with cheminformatics and/or bioinformatics tools (e.g. RDKit, FastQC)
Version control (e.g., Git)
Cloud Compute Platforms (e.g. Google Cloud Platform, AWS)
Online sources of scientific information (especially NCBI PubMed, RCSB PDB, UniProtKB, EMBL-EBI ChEMBL, SciFinder, Reaxys)
Data Engineering platforms and pipelining tools such as Apache Airflow

Responsibilities

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

Desired Qualifications

Experience with any of the following is a plus:

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 Drug Discovery group, you’ll join a group 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. Three of the programs we’ve worked on in the past seven years have progressed into the clinic, and an additional one is expected to enter clinical trials this year. You can see recent news on one of these programs here.

Who will love this job:

An independent worker who understands genomics, enzyme inhibition, or receptor agonism/antagonism
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
Demonstrated work experience with cloud compute and storage platforms, especially GCP
Experience with any of the following is a plus:

Data management and analysis libraries in Python and/or R (e.g., Pandas, Numpy, Scipy)
Data communication/visualization
Familiarity with cheminformatics and/or bioinformatics tools (e.g. RDKit, FastQC)
Version control (e.g., Git)
Cloud Compute Platforms (e.g. Google Cloud Platform, AWS)
Online sources of scientific information (especially NCBI PubMed, RCSB PDB, UniProtKB, EMBL-EBI ChEMBL, SciFinder, Reaxys)
Data Engineering platforms and pipelining tools such as Apache Airflow

Pay and perks:

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, 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.

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, or sexual orientation. 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.