Biomedical Text Analysis Intern, Summer 2023

Schrödinger is seeking a Biomedical Text Analysis Intern to join our drug discovery team as an intern for a minimum of 12 weeks. Individuals will use their text mining and biology skills to mine the biomedical literature beyond peer-reviewed publications (eg, patents, conference abstracts) on targets of interest to curate data supporting target validation and drug discovery project insights and present their findings to biology and new target-focused teams.
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. Several programs we have worked on have achieved Development Candidates, including progression to clinical development and FDA approval. You can view our entire pipeline of wholly-owned programs and collaborations here.
Who will love this job:

• A capable collaborator with programmatic text analysis (eg, natural language processing) skills and familiarity with molecular and cellular biology, biochemistry, or pharmacology
• An innovator and self-starter who enjoys developing new methods and approaches to address complex questions
• An excellent verbal communicator

What you'll do:

• Apply programmatic text mining skills to identify data from text resources such as patents and conference abstracts supportive of target validation or enablement or addresses biological research questions pertinent to active drug discovery projects
• Collaborate with target analysis or drug discovery project teams to contextualize identified insights with orthogonal evidence
• Interpret, visualize and share results in a way that contributes to cross-functional target analysis and project research

What you should have:

• A graduate major in biomedical informatics, computer science, health data science or a related field
• Broad background in cellular and molecular biology, including familiarity with oncogenic or inflammation pathways
• Experience accessing and analyzing textual data using using various algorithmic approaches; experience with with BioBERT is desired
• Programming experience required; working knowledge of Python, SQL, or similar languages preferred
• Ability to work autonomously and in collaboration with other interns and cross-functional drug discovery professionals in a fast-paced and quickly changing environment

Pay and perks:
We have catered meals in the office every day and a company culture that is relaxed but engaged. 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.