Computational Biologist - Principal Scientist
We’re seeking a Principal Scientist, Computational Biology to join us in our mission to discover and develop drugs that improve human health through the use of breakthrough computational methods.
Our drug discovery and early clinical development team includes a cross-functional group of scientists and drug developers with experience working on all common target classes and therapeutic areas. The group is supported by more than 100 software developers and engineers as well as a large-scale compute infrastructure to apply our proprietary physics-based drug design and optimization platform. Ten of the programs we’ve worked on have progressed into preclinical development, with four currently in clinical trials and one approved by the FDA.
Who will love this job:
- An exceptional collaborator who enjoys working with people from diverse backgrounds and experiences
- A motivated and talented scientist who enjoys the challenge of identifying novel methodologies and delivering innovative medicines
- A passionate scientist with an interest in a wide scope of drug development processes
What you’ll do:
- Advance programs through collaboration with biologists, translational scientists and other project team members to explore compound MoA and generate computational hypotheses around patient segmentation and biomarker development
- Leverage large-scale genomic and genetic datasets for target identification and triage in oncology and inflammatory and immunology
- Apply cutting-edge computational methodologies and build predictive ML/AL models from high-dimensional, multi-modality datasets to empower data-driven decision making
- Lead or participate in external collaborations to generate data and analysis packages across different drug programs
- Work with external CROs for data generation and interpretation
- Communicate computational analysis and discoveries across functional teams
What you should have:
- A PhD in computational biology, system biology, computer science, statistics, or a related field (at least three years of working experience in the drug development industry preferred)
- Deep expertise in modern machine learning, deep learning algorithms, and statistical modeling
- Extensive experience in algorithm implementation and deployment using R/Bioconductor, Python, or other contemporary, open-source tools
- Working experience in analysis and integration of multi-omics, functional genomic, and pharmacogenomics data sets
- Familiarity with various sequencing technologies and platforms, including bulk sample sequencing and/or single cell sequencing at different modalities (experience with data processing preferred)
- Domain knowledge in disease areas in oncology, immunology, inflammatory and/or neuroscience is a plus
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 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, 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.
