Principal Analytics Engineer – Cheminformatics & Competitive Intelligence
About the role
We are seeking a talented Principal Analytics Engineer to identify, create, and implement customized solutions for data harvesting, curation, and analysis at the intersection of drug discovery and competitive intelligence. The successful candidate will join our Cheminformatics and Data Science team, and collaborate closely with Treeliners working on Business Development, IP & Exclusivity Strategy, and medicinal and computational chemistry to develop and implement innovative and proprietary solutions to accelerate and provide synergies across molecular design, and drug discovery.
You will mine and transform unstructured data into annotated, machine-readable and standardized data formats. Methods such as deep learning, semantic algorithms, and knowledge graphs along with traditional data science and computational methods may be used to accelerate the internal build of this capability.
You will implement efficient methods that facilitate the consumption of structured data for our scientists and develop a user-friendly interactive platform that allows visualization of data to share knowledge and drive drug discovery decision-making at a rapid pace.
Location
Watertown, MA; San Diego, CA; or remote
Responsibilities
- Analyze complex data and integrate expert knowledge into the process of harvesting, curation, and analysis of cheminformatic and bioinformatic data, SAR, pre-clinical and clinical data, and competitive intelligence data.
- Develop and integrate new methods and tools to facilitate the generation and consumption of structured data, via in silico automation, cheminformatics, and machine learning.
- Design and maintain data visualization environments.
- Liaise with key stakeholders to gather analytics requirements.
- Collaborate across departments to identify relevant data sources.
Basic Qualifications
- PhD or equivalent in Computer Science, Machine Learning, Artificial Intelligence, Cheminformatics, Computational Medicinal Chemistry, or related fields with 2+ years of industrial experience (or MS in one of these fields with 5+ years of related experience).
- Experience with scientific python software such as: cheminformatics toolkits (OEChem, RDKit) and machine learning toolkits (numpy, scipy, scikit-learn, etc)
- Experience applying cheminformatics and data science techniques to solve drug discovery problems.
- Enthusiasm and passion for developing analytics solutions.
- Hands on experience with data aggregation, manipulation, integration, mining, and analysis, including structured and unstructured data sources.
- Proficiencies in data visualization; innovate in dashboard design and automation.
- Capable of establishing strong working relationships across our organization.
Preferred Qualifications
- Experience in medicinal chemistry, computational chemistry, and/or drug discovery.
- Understanding of machine learning methods, including deep learning, semantic algorithms, knowledge graphs, supervised and unsupervised learning.
- Knowledge of data visualisation best practices.
- Familiarity with patent informatics and mining chemical information.
- Familiarity with protein structural data
Treeline Biosciences is committed to protecting the health and safety of our team. Our company requires all employees to be fully vaccinated against COVID-19, including a booster shoot. Proof of vaccination must be provided prior to the first day of employment. As required by applicable law, Treeline will consider requests for Reasonable Accommodations.
Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters)
The Human Resources team manages the recruitment and employment process for Treeline Biosciences. To protect the interests of all parties involved, Treeline Biosciences will only accept resumes from a recruiter if an executed search agreement directed to the particular position or positions is in place at the start of the recruitment effort. Unsolicited resumes sent to Treeline Biosciences from recruiters do not constitute any type of relationship between the recruiter and Treeline Biosciences and do not obligate Treeline Biosciences in any way to pay fees should we hire from those resumes. Recruiters are requested not to contact or present candidates directly to our hiring manager or employees.