Scientific Data Analyst

Science Data Analyst

Full Time · Professional CA (+2 more locations)

Salary Range

CAD $68,000 to $98,000 (Montréal) or USD $81,000 to $115,000 (Minneapolis) Annually

About Lasso Informatics

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.

That is where our name comes from. A lasso brings something wild under control, and that is the job. The people who do it are Wranglers, and we are quite choosy about who earns the title. Wranglers expect a lot of themselves, make everyone around them better, and never stop learning. We move fast, we have fun, and we keep the bar high.

About the Role

Read this part first, it saves us both time: This is a health research role, not business intelligence, financial analytics or management consulting. We are looking for someone who comes from life sciences research and is at home in study design, biostatistics and the messy reality of participant data.

As a Science Data Analyst at Lasso, you sit inside a multidisciplinary research team and help answer real scientific questions. You shape analytical approaches, test them against study design, and turn tangled multi-modal data into findings that hold up. You are comfortable working alongside and communicating with people from every corner of the company, from researchers and software engineers to project managers.

What You'll Do

• Work directly with researchers to define data requirements, resolve quality issues and support reproducible research workflows.
• Conduct statistical analyses in R,Pythonand other tools, applying biostatistical methods suited to the study design, including mixed-effects models and longitudinal techniques.
• Evaluate and contribute to experimental and study design decisions, making sure analyses are valid and that confounds, covariates and sampling are handled properly.
• Apply statistical and computational methods for pattern detection, predictive modeling and data quality assessment across multi-modal datasets.
• Organize and manage datasets and data dictionaries, run QCchecksand conduct preliminary analyses that keep data integrity high.
• Design, configure and maintain dashboards for domain-specific workgroups.
• Produce clear documentation of your methods,pipelinesand findings for scientific and internal audiences.
• Maintain project tracking and help build a culture of rigorous, reproducible science.

Qualifications

Required

• A PhD in health or life sciences (for example epidemiology, public health, neuroscience, genetics, genomics, behavioral science or clinical and biomedical sciences). This one is firm: we want a researcher who analyzes data, not a data professional new to health research.
• 5+ years of full-time experience in data analysis and data science fundamentals (algorithms, data structures, data visualization), preferably in a clinical or research setting.
• 5+ years of full-time experience in a scientific programming language such as Python, R orMatlab, with hands-on familiarity with related frameworks and libraries (Tidyverse, SciPy, scikit-learn,PyTorch, Polars).
• Advanced proficiency in biostatistics, including methods suited to observational (cross-sectional and longitudinal) and experimental research designs.
• Demonstrated experience applying experimental design principles: power analysis, randomization, control conditions and bias mitigation.
• 1+yearworking in a Linux environment, using version control (e.g., GitHub) and software virtualization platforms (e.g., Docker).
• Proficiency creating visualizations of complex longitudinal datasets.
• 3+ years working with data privacy regulations (HIPAA, GDPR) and research ethics standards.

Preferred

• Background in neuroscience, genomics, clinicalresearchor a related life sciences discipline.
• Experience with large-scale, multi-modal research datasets spanning imaging, EEG, eye-tracking, wearables, behavioral, genetic or bio sample data.
• Familiarity with reproducible research practices including R Markdown,Quartoor equivalent notebook-based workflows.

Want to Be a Wrangler? Here's What We Look For

• You hold yourself to a high standard and bring real analytical rigor.
• You make the people around you better.
• You stay curious and keep learning.
• You see a problem and start solving it, without waiting to be asked.
• You keep the whole picture in view and notice how a change in one place ripples through the data, the study and the results.
• You write clearly, document your methods withprecisionand explain complex statistical findings to non-technical audiences.
• You juggle several priorities at once and work well on a distributed team.
• You take data privacy, responsiblestewardshipand reproducibility seriously.

What We Offer

• A flexible, hybrid or remote position.
• Competitive compensation and benefits.
• Work that matters, with scientific and clinical impact you can point to.
• Variety that keeps it interesting: youworkthe whole analytics stack, from study design to insight, so no two projects feel the same.
• Room to grow with a mission-driven company at the front of research data management.
• A sharp, multidisciplinary team that is good at what it does and good to work with.