16 of 16 Bioinformatics Jobs

in Large Language Models (LLMs) and apply them to business scenarios. Qualifications and Skills Required: Advanced degree (Ph.D. preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or a related quantitative field. 10+ years of proficiency in Python, SQL, R, MATLAB, PyTorch, Keras, and git. 8+ years of experience in ML/deep learning, including hands-on More ❯

collaboration Preferred Qualifications Experience with transformer architectures or graph neural networks for molecular data Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes) Background in computational biology, bioinformatics, or structural biology Experience with large-scale data engineering and ETL pipelines Familiarity with MLOps practices and model deployment frameworks We value different experiences and ways of thinking and believe More ❯

software into both HPC and cloud environments (AWS, GCP, Azure, or hybrid systems). Extensive experience working with workflow management systems (Nextflow, Snakemake, CWL, or WDL). Experience with bioinformatics, computational biology, scientific computing, or data science workflows. At all levels: Proficiency in one or more key programming languages (e.g., Python, Julia, C/C++, Java, or Rust). Proven More ❯

expertise with administering HPC job schedulers (Slurm preferred) and parallel file systems (Lustre, BeeGFS, GPFS). At all levels: Familiarity with containerization, workflow automation, and orchestration tools used in bioinformatics and AI/ML. Skilled in scripting and automation using Python, Bash, and configuration management tools (Ansible, Terraform). Demonstrated experience profiling and optimizing scientific or machine learning workloads on More ❯

AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with More ❯

small; strong sense of independence and ownership Provide guidance and opinions on implementation/considerations, while having a willingness to compromise Developing/supporting ML models in the cheminformatics, bioinformatics, large language, and/or diffusion model domains (desired) Experience working on drug discovery projects (desired) NYC Salary: $120,000 - $190,000 This band is a reflection of the job More ❯

develop awareness of responsible AI practices, including risk management and ethical use. Education Master's degree or higher in a quantitative discipline (e.g., engineering, mathematics, physics, chemistry, economics, bioengineering, bioinformatics, or related field) plus significant relevant commercial experience. Bachelor's degree in a quantitative discipline plus extensive relevant commercial experience may be considered. Responsibilities Synopsis: Lead the development and delivery More ❯

implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment. Essential Duties Include, but are not limited to … the following: Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. Develop perspectives on "AI technology affordance": what do these advances in AI technology allow us to do (more efficiently and/or more effectively) that we … couldn't do before. Work with stakeholders to discover and refine requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications. Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. Work with other 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 ❯

and frameworks for AI model development. Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable. Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare. Effective communication and collaboration abilities, with the capacity to More ❯

Overview: WiredPeople is seeking to hire a Bioinformatics DevOps Engineer/Developer - Advanced Molecular Detection to help support genomic surveillance and outbreak investigations for pathogens of public health concern in Florida. The Bioinformatics DevOps Engineer/Developer will work directly with the Bioinformatics Team, serving as a bioinformatics developer and primarily support the development and implementation of a cloud computing … will also operate remotely. Responsibilities: Plan and execute whole-genome sequencing analysis, comparative genomic analysis, and other analytic research projects, establishing new standard operating procedures (SOPs) by developing custom bioinformatics pipelines/workflows. Select and develop appropriate analysis techniques and measures and identify and implement the necessary software and databases to complete defined analytical tasks. Develop, manage, and curate databases … summaries, manuscripts, special reports, and oral/poster presentations. Attend approved training workshops and complete a corresponding report on the training received. Qualifications and Experience: Required: A PhD in bioinformatics, genomic epidemiology, microbiology, virology, parasitology, evolutionary biology, microbial genetics, molecular biology, computer science, or related field. Must have 5 years+ experience following your degree. At least five years of practical More ❯

in areas of computer science and computer engineering including but not limited to those with a research focus in Artificial Intelligence (AI) and expertise in neuromorphic computing, cognitive science, bioinformatics, or closely related fields, as well as candidates with interdisciplinary research that bridges AI with emerging areas in cognition, biology, and computation. Areas of specialization may include but are not … serving on departmental and/or college committees.Developing an externally funded research program and conducting research in Artificial Intelligence (AI) and/or Deep Learning, specifically, in applications with bioinformatics and/or computational biology. Also publishing research results in professional journals and refereed conference proceedings.Contributing (at both the graduate and undergraduate level) to the department's educational and mentoring More ❯

application framework for data analysis and visualization Here are some hard technical requirements: - Strong foundation in statistics, linear algebra, and algorithmic reasoning, with an understanding of the methods underlying bioinformatics tools and LLMs. - Understanding of mechanics of wet lab biology, either from direct experience or interfacing with scientists on real projects for some time - Reasonable software engineering ability - exposure across … why performance breaks down under load of data How we work - 5-day weeks, in-person in San Francisco Mission Bay - 1-week-long sprints - Deep collaboration between Engineering, Bioinformatics, Product, and Sales - Engineers attend weekly: only 2 company-wide meetings (planning and demo) + 15-min stand-up each day - Tech: TypeScript, Python, React, Postgres, Docker, Linux, Kubernetes. Lots More ❯

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided More ❯

The Ellison Institute of Technology (EIT) tackles humanity's greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial More ❯

the UK, US (East Coast), and Polland to support product strategy transformation. The Product Manager must have demonstrable experience working for a Life Science organisation within demonstrable experience in Bioinformatics, genomics, proteomics, data visualization Your responsibilities: Product knowledge transfer : Document existing product knowledge including use case, usage metrics, business processes, technical spec and documentation Document non-functional product knowledge Business … product development Working knowledge of Cloud Excellent verbal and written communication Proven agile development experience Experienced user of Jira and Confluence Experience within a Life Science organisation working in Bioinformatics, genomics, proteomics and data visualization Role Experience Number Specialities Senior Product Manager Omics Products 8+ Years Experience 2 Bioinformatics, genomics, proteomics, data visualization More ❯