Data Analyst / Scientist

Lasso Informatics Inc Lasso Informatique Inc • US,

5d • $81,000 - $115,000 • Remote

About The Position

We are seeking a skilled Data Analyst/Scientist to join our growing team full-time. This remote-friendly role sits at the intersection of rigorous statistical science and modern data tooling. You'll work closely with a multidisciplinary research team to derive meaningful insights from complex datasets, design and evaluate analytical approaches, and communicate findings clearly to scientific and non-technical audiences.

Requirements

• PhD in Neuroscience, Psychology, Epidemiology, Engineering, Statistics, Computer Science, or an equivalent combination of education and experience.
• 5+ years of full time experience in data analysis and data science fundamentals - algorithms, data structures, data visualization, and machine learning - preferably in a clinical or research setting.
• 5+ years of full time experience in scientific programming language such as Python, R, or Matlab, with hands-on familiarity with related frameworks and libraries (e.g., Tidyverse, Scipy, Sklearn, 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.
• Demonstrated experience leveraging AI/ML tools in an analytical or research context.
• 1+ year of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
• Proficiency in creation of visualizations of complex longitudinal data sets
• 3+ years experience working with data privacy regulations (HIPAA, GDPR) and research ethics standards.

Nice To Haves

• Background in neuroscience, genomics, clinical research, or a related life sciences discipline.
• Experience with large-scale, multi-modal research datasets spanning imaging, behavioral, genetic, or biosample data.
• Familiarity with reproducible research practices including R Markdown, Quarto, or equivalent notebook-based workflows.
• Analytical rigor combined with scientific curiosity
• Self-directed and comfortable working autonomously in a distributed remote environment, managing multiple priorities and deadlines effectively.
• Strong technical writing skills with a demonstrated ability to document methods and communicate findings with precision.
• Excellent verbal communication skills; able to translate complex statistical findings for non-technical stakeholders.
• Solid understanding of data privacy obligations and a commitment to responsible data stewardship.
• High attention to detail and a genuine commitment to data integrity and reproducibility.
• Collaborative by nature, with strong interpersonal skills and comfort contributing to open, multidisciplinary team environments.

Responsibilities

• Design, configure, and maintain dashboards for domain specific workgroups.
• Conduct statistical analyses using R, Python, and other programs, applying biostatistical methods appropriate to study design - including mixed-effects models and longitudinal data techniques.
• Apply AI and machine learning tools to support pattern detection, predictive modeling, and data quality assessment across multi-modal datasets.
• Evaluate and contribute to experimental and study design decisions, ensuring analytical validity and appropriate handling of confounds, covariates, and sample considerations.
• Organize and manage datasets and data dictionaries, perform QC checks and conduct preliminary analyses to maintain high data integrity.
• Collaborate cross-functionally to define data requirements, resolve quality issues, and support reproducible research workflows.
• Produce clear technical documentation of analytical methods, pipelines, and findings for both scientific and internal audiences.
• Maintain project tracking and contribute to a culture of rigorous, reproducible science.

Benefits

• Flexible hybrid/remote position.
• Competitive full-time compensation and benefits package.
• Meaningful contribution to research with real-world scientific and clinical impact.
• Hands-on experience across the full analytics stack - from experimental design through insight delivery.
• Opportunity to grow with an innovative, mission-driven company at the forefront of research data management.
• Collaborative environment within a diverse, multidisciplinary team of researchers and data professionals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree