Postdoctoral Research Data Scientist (m/w)

Research data is wild. It pours in from brain scans, genome sequencing, EEG and eye-tracking, biospecimens and wearables that track sleep and movement, across dozens of sites and years of study. Lasso Informatics ropes it in: our platform pulls it all into one place so researchers around the world can stop fighting with their data and get to discoveries faster.

A lasso brings something wild under control, and that is the job. We move fast, we have fun, and we keep the bar high.

A flexible, hybrid or remote position

Work that matters, with scientific and clinical impact you can point to

Room to grow with a mission-driven company at the front of research data management

Full Time

95,000 - $122,000 CAD

You hold yourself to a high scientific and technical standard, and you can defend your reasoning under scrutiny

You communicate well with engineers, data managers, and researchers who don't share your technical background, and with collaborators who need a translator between their science and our platform

You take data quality and responsible stewardship of research data seriously

This is a hands-on data science role supporting our study operations function. You bring real fluency in bioinformatics and in how clinical data gets collected across multi-site research consortia, not just inside a single study in one lab. Reporting to the Senior Director, Operational Initiatives, y ou work directly with the research teams and study sponsors we support, helping them translate their measures and data collection plans into clear, well-structured data dictionaries inside the Lasso platform. You are also the person collaborators turn to for more than data storage: because of your scientific training, you help them navigate the full suite of Lasso products and offer guidance that runs the full distance from data ingestion through analytic workflows, all customized to their specific study needs.

This kind of judgment call has to hold up across many collaborators and studies so you must be a person who can live in the trees while never losing sight of the forest (you are a strategic/systems thinker). Collaborator Data & Measure Design

Work directly with research teams and study sponsors to translate their measures and data collection plans into clear, well-documented data dictionaries inside the Lasso platform

Advise collaborators on how to structure and document their data so it holds up to scientific and regulatory scrutiny

Serve as the point of contact for collaborator questions about data structure, quality standards, and how their measures map onto the Lasso platform

Full-Service Scientific Support

Help collaborators navigate the full suite of Lasso's products

Help collaborators design and set up analysis workflows suited to their study

Offer guidance that runs the full distance from data ingestion through analytic workflows, all customized to each study's specific needs, drawing on your own research training

Apply bioinformatics expertise to how clinical and biological data get structured, quality-checked, and analyzed across large research consortia

Work with data engineering and pipeline teams to configure collaborator-facing data standards directly into processing and analytics pipelines

Review pipeline output against the standards you've set and correct drift when you find it

Train other team members on the tools and standards you create, and serve as the subject-matter expert they come to with questions

PhD in neuroscience, psychology, bioinformatics, biostatistics, data science, or a related field plus relevant postdoctoral or applied research experience, or a master's degree in one of these fields plus 5+ years of directly relevant experience

Direct experience with clinical or biomedical data collection inside a multi-site research consortium

Strong bioinformatics background and hands-on experience with biological or clinical measurement data

Experience working directly with research teams, study sponsors, or other external collaborators to define measures, data structures, or study data plans

Experience taking data through statistical analysis to findings, and communicating those findings clearly to non-technical audiences

Proficiency in Python and/or R

Comfort working in a Linux or command-line environment

Experience with Git or another version control system

Experience providing scientific or analytic consulting support to external clients, collaborators, or study teams

Experience building or maintaining data-processing pipelines or reproducible research workflows

Experience with neuroimaging data formats or tools, such as NIfTI, DICOM, FSL, Nilearn, or FreeSurfer

Experience on a large longitudinal or multi-site consortium study, such as the ABCD Study or similar

Experience with clinical data capture systems such as REDCap or Qualtrics

Published research that demonstrates methodological rigor in data quality or data definition work

Experience building tools or systems that let a defined methodology be applied consistently across a team

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