Computational Biologist

Schrödinger’s mission is to revolutionize drug discovery through the use of breakthrough computational methods.  We are currently looking for outstanding individuals to join our drug discovery group and contribute to our rapidly expanding portfolio of drug discovery collaborations.
 
Our drug discovery group of over 70 scientists includes designers, modelers, computational chemists, medicinal chemists, crystallographers, biochemists, and biologists 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. Four of the programs we’ve worked on have progressed into the clinic; three are still progressing through trials and one is approved by the FDA.  
 
We are looking for an experienced computational biologist to drive and apply state of the art analysis methods to inform decision making across the Schrödinger pipeline. The successful candidate will work with target evaluation, drug discovery, translational, clinical teams to provide strategic input and technical expertise across multiple programs and therapeutic areas focussed on developing innovative new medicines for patients with unmet medical needs.
 
Responsibilities:
  • Identify and prioritize therapeutic targets through the integration of structure/ function and genotype/ phenotype relationships. Analyze, design and execute translational science and precision oncology biomarker plans integrating both disease and pathway approaches to indication selection, patient stratification, drug combination and resistance mechanisms.
  • Analyze genomics/transcriptomics/proteomics data and help guide program decisions and experimental design. Interpret preclinical and clinical datasets and develop interactive data visualizations.
  • Collaborate with the machine learning group to develop models leveraging in-house and public datasets. Implement high-throughput data analysis pipelines leveraging high-performance computing.
  • Communicate summary data to collaborators and senior management.

Essential Qualifications and Experience:
  • A Ph.D. in computational biology, biostatistics, statistical, biophysics, or bioinformatics or related field with a minimum of 6 years of relevant experience working on bioinformatics projects is required.
  • Prior work experience in computational biology, bioinformatics in a biopharma or biotechnology setting is required
  • Experience in translational research and biomarker planning
  • Experience in identifying high-value therapeutic targets across disease areas
  • Proficiency in classification and machine learning methods is preferred.
  • Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed-effects modeling is preferred.
  • Outstanding presentation and communication skills
  • Skilled at working collaboratively in a multidisciplinary environment

Desirable Skills:
  • Graduate training or work experience in integrative cancer biology analysis
  • Proven record of innovative thinking to propose and champion new ideas and solve problems
  • Comfortable working across a number of disease areas and able to shift gears quickly.
  • Must be open to change and the unknown with a creative and resourceful nature; a self-starter, proactive and results-oriented with high-performance standards

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 - last summer we went tubing down the Delaware River! 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 2018.

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, national origin, citizenship status, marital status, union status, sexual orientation, or gender identity. 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. Greater diversity doesn’t just mean better headlines or public images—it means increased adaptability and profitability.


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