Senior Data Scientist - Genomics Research

Placements24; Johannesburg; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Health benefits

Professional development

Flexible work arrangements

Collaborative culture

Job summary

Placements24 is seeking a Senior Data Scientist in Johannesburg to join a cutting-edge R&D team focused on unlocking the genetic underpinnings of complex diseases. The role blends in-office collaboration with remote flexibility.

You will design statistical and ML models for genomic data, build data pipelines, and mentor juniors while advancing scientific discoveries in a collaborative environment.

Qualifications

• PhD or Master's in Data Science, Bioinformatics, Statistics, CS, or related field.
• Minimum 5 years of professional data science experience with genomics/bioinformatics focus.
• Proficiency in Python or R with common ML/data libraries.
• Experience with large-scale genomic data types (WGS/WES/RNA-Seq) and tools.
• Strong stats, experimental design, and SQL knowledge.
• Git and cloud platforms (AWS/Azure/GCP) are a plus.

Responsibilities

• Design and implement advanced statistical models and ML algorithms for genomic data.
• Build and maintain data pipelines for diverse biological datasets.
• Collaborate with domain experts to translate questions into analyses.
• Perform exploratory data analysis to identify patterns and biomarkers.
• Visualize findings and communicate insights to technical and non-technical audiences.
• Contribute to development of analytical methods and software in R&D.
• Stay updated on genomics, bioinformatics, and data science.
• Mentor junior data scientists and share knowledge.
• Ensure data integrity and ethics across research processes.

Skills

Python

R

Genomics

Statistics

Machine learning

SQL

Education

PhD in a quantitative field

Master's in a related discipline

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client, a leading innovator in life sciences, is seeking a highly skilled and motivated Senior Data Scientist to join their cutting-edge research and development team. This is a pivotal role where you will contribute to groundbreaking projects focused on unlocking the genetic underpinnings of complex diseases. You will work within a dynamic, collaborative environment alongside leading researchers, bioinformaticians, and clinicians. The role offers a unique opportunity to apply advanced statistical and machine learning techniques to large-scale genomic datasets. Located in the vibrant city of **Johannesburg**, this position offers a blend of in-office collaboration and remote flexibility, fostering a balanced and productive work-life integration. You will be instrumental in driving data-driven discoveries and translating complex biological information into actionable insights that could revolutionize patient care. We are looking for an individual passionate about scientific discovery and equipped with the technical prowess to handle intricate data challenges.

Key Responsibilities

• Design and implement advanced statistical models and machine learning algorithms for the analysis of genomic and phenotypic data.
• Develop and maintain robust data pipelines for processing, cleaning, and integrating diverse biological datasets.
• Collaborate closely with domain experts to define research questions and translate them into data analysis strategies.
• Perform exploratory data analysis to identify patterns, trends, and potential biomarkers.
• Visualize and communicate complex findings to both technical and non-technical audiences through compelling reports and presentations.
• Contribute to the development of novel analytical methodologies and software tools within the R&D department.
• Stay abreast of the latest advancements in genomics, bioinformatics, and data science.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Ensure data integrity and ethical considerations are maintained throughout all research processes.

Requirements

• A PhD or Master's degree in a quantitative field such as Data Science, Bioinformatics, Statistics, Computer Science, or a related discipline.
• Minimum of 5 years of professional experience in data science, with a significant portion focused on genomics or bioinformatics.
• Proficiency in programming languages such as Python or R, including relevant libraries for data manipulation, analysis, and machine learning (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with large-scale genomic data types (e.g., WGS, WES, RNA-Seq) and associated analysis tools.
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with database querying languages (e.g., SQL).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
• Experience with version control systems like Git.

Benefits

Our client offers a competitive remuneration package, comprehensive health benefits, and opportunities for professional development and continuous learning. This role provides exposure to state-of-the-art technologies and the chance to make a tangible impact on scientific advancement. Enjoy a stimulating work environment that encourages innovation and collaboration. Flexible working arrangements are in place to support a healthy work-life balance. Join a team of passionate experts dedicated to pushing the boundaries of scientific knowledge and contributing to a healthier future. Further details on specific benefits will be discussed during the interview process.