Shape the strategy and implement projects for data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data, brain biology, and mechanism of action, drawing upon a combination of internal and external resources.
Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans across the Neurodegeneration and Neuropsychiatry portfolio, being forward looking and foreseeing a path to launch.
Remain current on the constantly evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration, omics, bioinformatics and AI/ML research in search of better strategies for accelerating and prioritizing our portfolio based on biological insights.
Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia to position the company at the forefront of data-driven neuroscience.

Requirements

PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required.
3+ years of progressive industry or academic experience in applying data-driven methods in the context of target discovery and validation, translational science and patient stratification is required.
Extensive background working hands-on deriving insights from high-dimensional molecular data – particularly genetic, RNAseq, proteomics and/or single-cell data is required.
Proficiency in R, Python, or similar programming languages is required.
Proven track record of scientific contributions in this field with first author publications in high-impact journals is required.
Experience translating data into strategies and executable action plans is required.
Ability to clearly communicate technical work to a diverse audience is required.
Background and experience working in Neurodegeneration and/or Neuropsychiatry is strongly preferred.
Experience working with and leading interdisciplinary teams through either people or project leadership is preferred.
Familiarity with machine learning and innovative AI methodologies is preferred.
Strong reputation for driving novel solutions to problems and providing strategic advice is preferred.
Familiarity with clinical development processes is preferred.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data-driven methodstarget discoveryvalidationtranslational sciencepatient stratificationhigh-dimensional molecular datagenetic dataRNAseqproteomicssingle-cell data

Soft Skills

communicationteam leadershipstrategic adviceproblem-solvingrelationship building

Certifications

PhD in neurosciencePhD in computational biologyPhD in bioengineeringPhD in biostatistics