11 of 11 Remote Permanent Bioinformatics Jobs

and visual outputs (e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary and benefits package on offer in addition to hybrid working. Bond Williams Professional Recruitment are an equal opportunity employer More ❯

both on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy More ❯

required as necessary to meet with clients. Frequency of travel is dictated by business need, estimated at 1-3 short visits per year. You will have: A Life sciences, bioinformatics or software-related bachelors degree (2.1 or higher) or equivalent (relevant post graduate qualification desirable) 2+ years relevant professional experience in a customer facing role (such as at a CRO More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

placement in Data, Automation, & Predictive Sciences (DAPS), you must be studying for an Undergraduate Degree in a subject related to the role. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. Please read the degree requirements for each role carefully before applying. Other requirements: You will … contains multiple roles. All roles are within the Data, Automation & Predictive Sciences Department. Please read each description carefully before applying. Role 1 - Research Data Science Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics Placement Overview: Designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. Implementing and benchmarking computational methods leveraging cloud More ❯

Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas into production-ready code. There is an excellent salary and benefits package on offer in More ❯

in accordance with any relevant professional registration or statutory requirements, while maintaining appropriate awareness of service provider requirements. Essential Criteria: Degree (or equivalent qualification) in relevant subject (e.g. IT, bioinformatics) or equivalent level of experience of working at a similar level in a specialist area Experience in a first- or second-line technical support role, supporting end user device hardware More ❯