Junior - Mid-level Data Scientist

Meet Anagenex.
At Anagenex, we combine machine learning with massively parallel biochemical tools such as DNA Encoded Libraries (DELs) and Affinity Selected Mass Spectrometry (ASMS) to analyze more compounds more efficiently than ever before. By working with large datasets throughout our search process and letting our machine learning model guide our experiments, we are able to find molecules for the hardest problems in drug discovery, bringing first in class and best in class treatments to patients.
As a fully integrated team of experts in biology, chemistry and machine learning, we work as one to find new medicines. Collaborating across these divergent disciplines gives team members exposure and understanding into differing approaches for solving complex challenges. Autonomy and trust ground our flexible working environment, enabling us to succeed against a broad range of targets in drug discovery.
Introducing: Data ScientistWe want to add a junior Data Scientist to our expanding Scientific Computing team at our Lexington, MA location. This hybrid position reports to the Senior Scientific Data Architect, and will require you to be on-site 50% (or more) each week. Your demonstrated interest in either chemistry or biology will enhance your collaboration with biologists, chemists, and ML specialists to deliver bespoke tools and analyses of early stage drug discovery data.  Clear communication and a flexible approach are essential as your work will significantly impact the goals Anagenex aims to achieve.You’ll own:- Bespoke analysis of early stage drug discovery data- Work as a developer on the team and deliver the primary data analysis pipeline- Partner with ML specialists to provide them useful data- Collaborate with biologists and chemists as you work together to solve complex analysis or data design challengesYou’ll assist:- Maintain and upgrade existing registration and analysis tools- Processing and validation of very large data sets- Performing and communicating analyses (including ML results) to bench scientistsSkills & expertise you have:- A BS or MS degree in a Computer Science discipline with 0 – 3 years experience, OR a BS/MS in Chemistry or Biology with at least 2 years professional programming experience- Experience with Python- Familiarity with SQL- Chemistry or Biology lab-based classwork or equivalent experience- Good communication skills. Mentoring or tutoring experience a plus as this role requires the ability to explain compute-oriented concepts to non-compute professionalsSkills & expertise you can learn:- Early stage drug discovery methods. DNA Encoded Library and Affinity Selection Mass Spectrometry are particularly relevant- Teaching/presentation skills- Advanced SQL, advanced Python- Modern data processing system including Airflow, Spark and KubernetesWithin 1 month, you’ll…- Learn how we combine DNA Encoded Libraries, Affinity Selection Mass Spectrometry and Machine Learning to accelerate early stage discovery- Work with bench scientists to provide bespoke analysis of experimental results- Become familiar with compute infrastructureWithin 3 months, you’ll…- Develop bespoke tools to assist bench scientists with complex data analysis- Begin learning our Benchling (lab notebook) schema- Participate with basic data registration and validationWithin 6 months, you’ll…- Be an active developer on a small team working on delivering production-ready applications or pipeline components- Contribute to discussions around data requirements and approaches for analysis- Continue to learn about our data models (Benchling and datalake), write SQL queries to address complex questionsWithin 12 months, you’ll…- Serve as the primary Compute Team representative on target-focused matrix teams- Continue to assist scientists with complex data analysis tasks as needed- Work with Benchling and lab scientists to update and extend our lab notebook data model to reflect changes to our lab practice- Continue working on our compute infrastructure, either independently or as a co-developer on a small team.Anagenex's benefits and perks:- Healthcare/Dental/Vision insurance plans, with premiums 100% covered for employees and 50% covered for dependents.- FSA and HSA programs.- 401k program.- Equity compensation.- Unlimited vacation policy.- Annual professional development budget for all employees.
We are currently a distributed company with physical locations in San Francisco and Boston. We support remote work, but strongly prefer a continental US timezone.
We prioritize the health and safety of our employees, and require all employees to be Fully Vaccinated against COVID-19 in order to work onsite. If hired, candidates must present proof of vaccination on a confidential basis prior to their scheduled start date confirming that they have completed the COVID-19 vaccination process, subject to any written request for medical or religious accommodation and to the extent permitted by applicable l