Chief ML Research Scientist

Harnham; United States; Remoto; USD 180.000 - 230.000; Tempo pieno

Descrizione del lavoro

Harnham is seeking a Chief ML Research Scientist to lead machine learning research efforts in a permanent, high-impact role. This position is remote and based in the United States Virgin Islands, with responsibility for shaping research questions and directing experiments end-to-end.

You will guide problem framing, experimental design, model development, evaluation, and knowledge transfer to stakeholders, ensuring results translate into practical analytics outcomes and informed business

Competenze

• Experience leading machine learning research projects.
• Experience with end-to-end ML research lifecycle (problem framing, experimental design, model development, evaluation).
• Ability to translate research into practical analytics outcomes.

Mansioni

• Lead machine learning research efforts from problem framing to evaluation.
• Oversee end-to-end research activities and knowledge transfer to stakeholders.
• Set research direction and improve research processes to deliver high-quality analytics outcomes.

Descrizione del lavoro

We are seeking a Chief ML Research Scientist to lead machine learning research efforts. This is a permanent role focused on advancing analytics and applying advanced ML methods to drive insights and improve decision-making within life science contexts. The position is remote and based in the United States Virgin Island.

The Chief ML Research Scientist will oversee and guide end-to-end research activities, including problem framing, experimental design, model development, evaluation, and knowledge transfer to relevant stakeholders. The role will be responsible for setting research direction, improving research processes, and ensuring results are translated into practical analytics outcomes.

The ideal candidate will have strong expertise in machine learning research and the ability to lead scientific work with rigor and impact. They will typically demonstrate advanced analytical and technical skills, with the capability to design and validate models, interpret results, and guide research teams or collaborations to achieve high-quality outcomes.