Data Scientist - Genomics

Placements24; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Full remote work

Home office allowance

Generous time off

Job summary

Placements24 is seeking a highly analytical Data Scientist with a Genomics specialization to join its fully remote research division. You will extract actionable insights from large genomic datasets, build predictive models, and collaborate with bioinformaticians and biologists from a globally distributed team.

The ideal candidate holds a Master's or PhD in a quantitative field, is proficient in Python or R, and has experience with ML, statistics, and genomic data formats.

Qualifications

• Master's or PhD in a quantitative field is required.
• Proven ML and statistical modeling experience on biological/genomic data.
• Proficient in Python or R with data-science libraries.

Responsibilities

• Develop and deploy predictive models for genomic data analysis.
• Perform advanced statistical analysis and ML on large-scale genomic data.
• Collaborate with bioinformaticians and biologists to define research questions.

Skills

Python

R

Statistical modeling

Machine learning

Data analysis

Education

Master's or Ph.D. in Data Science/Statistics/CS/Bioinformatics

Tools

Scikit-learn

TensorFlow

Pandas

Job description

About the Role

Our client is seeking a highly analytical Data Scientist with a specialization in Genomics to join their fully remote, innovative research division. This role is crucial for extracting actionable insights from vast genomic datasets, driving discoveries in areas like personalized medicine and disease predisposition. You will work with a globally distributed team, employing advanced statistical modeling and machine learning techniques. This is an excellent opportunity for a skilled data scientist to contribute to transformative research from the comfort of their home office, shaping the future of genomic data interpretation. The position requires a strong technical background, excellent problem-solving skills, and a passion for unraveling the complexities of the genome.

Key Responsibilities

• Develop and deploy predictive models for genomic data analysis and interpretation.
• Perform advanced statistical analysis and machine learning on large-scale genomic datasets.
• Collaborate with bioinformaticians and biologists to define research questions and analytical approaches.
• Visualize complex genomic data to communicate findings effectively to technical and non-technical audiences.
• Design and implement data pipelines for processing and storing genomic information.
• Stay abreast of the latest advancements in data science, machine learning, and genomics.

Requirements

• Master's or Ph.D. degree in Data Science , Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience in applying machine learning and statistical modeling techniques to biological or genomic data.
• Strong programming skills in Python or R, including experience with relevant data science libraries (e.g., Scikit-learn, TensorFlow, Pandas).
• Experience with large-scale data processing and database management.
• Familiarity with genomic data formats (e.g., VCF, BAM, FASTQ) and analysis tools.
• Excellent communication skills and ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary commensurate with experience.
• Comprehensive benefits package including medical, dental, and vision insurance.
• Full remote work setup with a dedicated home office allowance.
• Generous paid time off and holidays.
• Opportunities for continued learning, professional certifications, and conference participation.
• A dynamic and intellectually challenging research environment.