We are hiring a Human Geneticist/Biostatistician Intern to join us in our mission to discover new drug targets and therapeutics that improve human health through the use of breakthrough computational methods. We are seeking outstanding individuals to join our computational biology team within the drug discovery group and contribute to our rapidly expanding portfolio of drug discovery and development programs and collaborations.
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 computational 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:
- A highly motivated and enthusiastic individual with a background in human genetics and biostatistics
- A curious scientist with a passion for discovery and teamwork and an interest in developing a career in drug discovery
What you will do:
- Conduct analysis of large-scale human genetic and genomic datasets (e.g. data from the UK Biobank Life Sciences Consortium), as well as other public resources with the aim to initiate new drug discovery projects
- Conduct literature reviews and stay current on recent discovery of novel targets and biomarkers linked to disease risk and progression
- Use your working knowledge of established and emerging approaches in statistical genetics to best utilize human genetic data in target and biomarker discovery
- Stay current on the latest developments and computational methodologies in human genetics
We are looking for:
- Recent PhD graduates or post doctoral fellows with a degree in human genetics or biostatistics
What you should have:
- Experience in how to develop and apply statistical genetic principles and methods to analyze large, public population or familial genetic data sets
- Experience in identifying potential genotype/phenotype/disease correlations based on large datasets
- Experience with R and/or Python programming languages
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.
Estimated base salary (NYC only): $7,500/mo. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
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.
