MANTECH

Job Overview
We are seeking a highly skilled Biostatistician / Machine Learning Engineer specializing in Sequencing and In Vitro Diagnostics (IVD). This role involves developing advanced analytical models and algorithms to interpret complex biological data, supporting cutting-edge research and clinical applications. The ideal candidate will have expertise in bioinformatics, data analysis, and machine learning, with a strong foundation in molecular biology and biochemistry. This position offers an exciting opportunity to contribute to innovative projects in genomics, clinical trials, and personalized medicine using state-of-the-art cloud computing platforms.

Duties

• Develop and implement machine learning models for sequencing data analysis, leveraging AI and deep learning techniques.
• Analyze large-scale genomic datasets using bioinformatics tools, databases, and scripting languages such as Python, R, C++, and SAS.
• Manage and optimize cloud-based data processing workflows on AWS and other cloud platforms.
• Perform data mining and statistical analysis adhering to CDISC standards for clinical trial data.
• Design and maintain databases for sequencing results, genetic information, and clinical metadata.
• Visualize complex data sets through advanced data visualization tools to communicate findings effectively.
• Collaborate with multidisciplinary teams on projects involving next-generation sequencing (NGS), molecular biology, epidemiology, and quantum engineering principles.
• Ensure compliance with regulatory standards and support the integration of biostatistics into IVD development processes.
• Contribute to research publications, technical reports, and presentations related to genomics and biostatistics.

Skills

• Proficiency in cloud computing environments, particularly AWS, for scalable data processing.
• Strong programming skills in Python, R, C++, SAS, and scripting languages for automation and analysis.
• Expertise in bioinformatics pipelines, next-generation sequencing technologies, and molecular biology techniques.
• Experience with databases such as SQL for managing large biological datasets.
• Knowledge of machine learning frameworks including AI algorithms applicable to genomics.
• Data mining skills combined with statistical analysis capabilities tailored for clinical trials and epidemiological studies.
• Familiarity with CDISC standards for clinical data management.
• Understanding of biochemistry, genetics, epidemiology, and quantum engineering concepts relevant to biostatistics.
• Ability to visualize complex datasets effectively using advanced visualization tools.
• Strong analytical skills with attention to detail in data analysis and interpretation of results. This position is ideal for candidates passionate about advancing genomic medicine through innovative data science techniques within a collaborative research environment.

Job Types: Full-time, Contract

Pay: From $90,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: Hybrid remote in Los Angeles, CA 90095