Senior Data Scientist

Job Description

Job Description

About Us and Our Mission : ALS Therapy Development Institute (ALS TDI) is the first-ever nonprofit biotech, and the largest drug discovery lab in the world focused 100% on finding treatments for Amyotrophic Lateral Sclerosis (ALS).

We are a dedicated team of researchers and an operations staff who work to raise awareness and funds to support this critical research.

Our mission is to discover and develop effective treatments for ALS. For more information, visit www.als.net

Our Culture : Why Work With Us? : We foster a culture of passion, collaboration, and innovation, where diversity and creativity are valued, and a shared commitment to our mission drives us forward.

By joining our team, you'll have the opportunity to make a real difference in the lives of those affected by ALS, contributing to groundbreaking research, collaborating with top scientists, and impacting the fight against ALS globally.

Join us in our mission to end ALS. Together, we can make a difference.

What's in it for you :

Salary range : $130,000-$135,000 / yr

Competitive Perks & Benefits :

• Unlimited PTO, Generous Company Holidays, and Annual On-site Incentives
• Medical, Dental, and Vision Insurance
• HRA to cover out-of-pocket deductible expenses for you and your covered family members
• Health and Dependent Care FSA
• Company Paid, Life and Accidental Death and Dismemberment
• Company Paid Long-term and Short-term Disability
• Retirement Plan with Company Match

Location : This remote position is open nationwide, Monday through Friday, from 9 a.m. to 5 p.m.

Work Environment : The company fosters a culture of mutual respect, trust, and collaboration within a casual work environment.

A day in the life of this role : The Senior Data Scientist will report directly to the Chief Scientific Officer (CSO) and will work in conjunction with multiple teams.

You will lead the management, analysis, and interpretation of complex clinical natural history data associated with deep digital clinical phenotyping, as well as multiomics data including genomics, transcriptomics, and proteomics.

You will primarily focus on the study of neurodegenerative diseases, with a particular emphasis on ALS. To excel, you should bring a robust background in data science, statistics, and bioinformatics, coupled with a deep understanding of neurodegenerative diseases and relevant biomedical research methodologies.

Key Responsibilities :

1. Data Management and Sharing :

• Develop and implement robust data management strategies for clinical natural history data and multiomics datasets.
• Oversee data acquisition, cleaning, curation, and integration from diverse sources to ensure data quality and consistency.
• Collaborate with internal and external stakeholders to facilitate data-sharing initiatives and compliance with data governance policies.

2. Data Harmonization and Integration :

• Lead efforts to harmonize heterogeneous datasets, including clinical, genomic, transcriptomic, and proteomic data, to enable comprehensive analysis.
• Develop and apply advanced algorithms and methods for data integration to extract meaningful insights and identify correlations across different data modalities.

3. Data Analysis and Interpretation :

• Utilize statistical and machine learning techniques to analyze clinical natural history data and multiomics datasets, with a focus on identifying disease biomarkers, prognostic factors, and therapeutic targets relevant to ALS and other neurodegenerative diseases.
• Conduct exploratory data analysis and hypothesis testing to uncover patterns, trends, and associations within the data.
• Work closely with domain experts to validate findings and translate analytical results into actionable insights for research and clinical applications.

4. Data Presentation and Visualization :

• Communicate findings effectively through compelling data visualizations, reports, and presentations tailored to diverse audiences, including researchers, clinicians, and stakeholders.
• Collaborate with cross-functional teams to disseminate research findings through scientific publications, conference presentations, and other knowledge-sharing platforms.

What we need from you :

• 5+ years of proven experience in data science, with a focus on biomedical data analysis and interpretation
• PhD or equivalent advanced degree in data science, bioinformatics, computational biology, or related field.
• Advanced proficiency in R and / or Python programming, and Linux command line fluency.
• Familiarity with cloud storage resources like AWS, GCP, and / or Microsoft Cloud.
• Expertise in statistical analysis, machine learning, and data mining techniques applied to complex datasets.
• Strong understanding of neurodegenerative diseases, particularly ALS, and relevant clinical research methodologies.
• Experience with clinical natural history data, electronic health records (EHR), and multiomics datasets (genomics, transcriptomics, proteomics).
• Excellent communication and interpersonal skills, adept at collaborating with diverse teams.
• Proven ability to manage multiple projects, prioritize tasks, and meet tight deadlines.
• Familiarity with data-sharing policies, ethical considerations, and regulatory requirements in biomedical research is desirable.

If you would like to be part of our productive, successful team, apply today! Our quick application takes less than 5 minutes to complete.

We look forward to learning more about YOU!

Please note : Applicants must apply directly through this job posting to be considered for candidacy.

Job Posted by ApplicantPro