Data Scientist

The Data Scientist will support a diverse set of initiatives including statistical computational modelling, advanced analytics and AI projects.

You will partner with internal and external stakeholders to develop insights and models to advance discoveries in mental health care.

Roles and responsibilities

• Provide expertise company-wide ranging from data science & analytics to more traditional statistical and computer science analysis in order to improve the patient journey and provide mission-critical applications as COMPASS grows
• Develop algorithms & analyses that incorporate digital and traditional biomarkers (voice, vision, smart device, EEG, others) in order to improve the treatment process via more accurate intervention, personalized therapeutics or real time post-treatment follow up
• Work collaboratively with engineering (back-end/front-end/UI+UX/ and others) to deploy these algorithms in a highly scalable and distributed infrastructure to help patients in real time
• Communicate insights with stakeholders with the ability to extract therapeutic intelligence by leveraging external and internal data sources
• Work closely with stakeholders to identify quantitative and technological needs for various COMPASS projects

Detailed responsibilities/accountabilities

•  The position reports into the VP of Digital Health Research

Profile

•  Substantial experience in the field either through industry and/or academia. Biotech & start-up experience a strong plus (Degree in: Statistics, Computer Science, Neuroscience, Engineering, Mathematics, Physics or related)
• Strong analytical, project management, written and verbal communication skills
• Proficient in at least one of Python (scikit-learn, numpy, pandas, matplotlib) or R (tidyr, dplyr, ggplot2, Rstudio)
• Understanding of a variety of statistical and/or machine learning methods (regression, statistical hypothesis testing and design of experiments, tree-based algorithms, supervised vs unsupervised learning). Expert knowledge in a selection of several key areas
• Comfortable with Linux and the AWS cloud environment
• Ability to operate independently and in cross-functional teams in an entrepreneurial and rapid growth-oriented environment
• Strong alignment with core company mission and values; Compassionate, Bold, Rigorous, and Inclusive
• Ability to work in the UK or US

Additional qualifications – preferred

• A PhD in a computational field (Degree in Statistics, Computer Science, Neuroscience, Engineering, Mathematics, Physics or related)
• Industry experience as a data scientist in a digital health organisation, pharma, or biotech
• Background in EEG, fMRI, and other brain measurement technologies a strong plus
• Experience with Tensorflow/Keras and/or Pytorch. Previous background in NLP and/or computer vision a strong plus
• Experience in modern front-end development and data visualisation
• Familiar with R Shiny and/or other modern front-end development and data visualization technologies

How to apply

If interested, please send your CV and statement of interest to hiring@compasspathways.com

Note that we are not able to sponsor employment visas at this time, and therefore can only accept applications from people who have employment rights in the US or UK.

Equal opportunities

US applicants

COMPASS Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law.

UK applicants

We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability.