You will be responsible for the evaluation of therapeutic hypotheses using internal and external data sources to validate the link between proposed targets and disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational and clinical studies. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who need them.

Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.

As part of the Computational Biology team within the Data Science department, you will lead the engineering efforts designed by Computational Biologists to solve targeted scientific biological questions. You will closely collaborate with Data Engineering and Software Engineering teams to deploy your solutions on AWS. Your expertise will be critical for integrating the technologies we use and developing strategic tools that support our research in clinical investigations. Additionally, you will apply your knowledge to create comprehensive documentation of your procedures and processes.

We have two positions each as either a three-year PhD or a three-year postdoc available in the Gorodkin lab ( https://ivh.ku.dk/bioinformatics ) Center for non-coding RNA in Technology and Health (RTH) ( http://rth.dk ) at Department of Veterinary and Animal Sciences ( https://ivh.ku.dk/english ) Faculty of Health and Medical Sciences at University of Copenhagen.The projects concern safety when siRNAs and small peptides are applied as pesticides in plants and the aim is to develop the computational tools and analyses that will contribute to an environmental risk assessment framework for new bio-based plant protection products (PPPs).

Department of Biology Faculty of Science University of Copenhagen The Sandelin group is looking to recruit a talented postdoctoral researcher to our highly dynamic research group working in the interface of genomics and computational biology.The position is for two years with possible extension in an interdisciplinary project focused on nuclear RNA degradation.

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professorin the broad area of Computational Molecular Biology in the Molecular and Cell Biology cluster School of Biological Sciences The University of Hong Kong (Ref.:530459) to commence as soon as possible on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.

The Stravitz‐Sanyal Institute for Liver Disease and Metabolic Health (SSI) is recruiting a highly motivated bioinformatics research scientist to join our team. The scientist will be responsible for a wide range of scientific activities, including data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and developing new methodologies. This role entails providing bioinformatics analysis support to various research projects and effectively communicating the analytical processes and outcomes.

We are looking for a senior computational biologist to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery. This role sits on the data team. We drive the company’s internal research, external partnerships, and training data creation.

Colgate-Palmolive is seeking a highly motivated scientist with a track record of excellence for a position in Global R&D, Skin Research & Innovation group, based in Piscataway, NJ.

The University of Texas at Austin have an opening for a tenured or tenure-track faculty position beginning Fall 2025 in the area of Computational Neuroscience. We are interested in candidates with expertise in the development and use of AI and machine learning approaches to solve questions in fundamental and translational neuroscience.

The Oden Institute for Computational Engineering and Sciences and the Department of Molecular Biosciences at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position beginning Fall 2025 in the area of Computational Biosciences/Biomedicine. We are particularly interested in the application of modern AI and scientific machine learning approaches to the study of biological systems. Areas of interest include, but are not limited to, the development of predictive models of gene expression, first-principles-based biological modeling, and protein biochemistry.

Genentech is seeking a talented and highly motivated Principal Scientist in Computational Biology to join our dynamic team. This role is integral to our data-driven projects, collaborating closely with the Immunology Discovery & Regenerative Medicine Departments.

As a Scientist in Computational Biology at Cellworks, you will play a pivotal role in advancing our scientific understanding through computational methodologies. Your responsibilities will encompass a range of research-oriented tasks, methodology development, and collaboration with cross-functional teams to answer challenging scientific questions.

The role requires a PhD in computational structural biology and have an advanced understanding and practical experience with developing and applying AI-based protein design algorithms to design novel antigens, such as epitope scaffolds, chimera antigens, and nanoparticles.

You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.

As a mRNA Computational Biologist you will collaborate with scientific and technical experts within the mRNA Center of Excellence, bringing practical knowledge and experience in applying bioinformatics, statistical and computational methods to preclinical and translational research data to identify predictive biomarkers, characterize mechanism of action and develop predictive models for mRNA vaccines and therapeutics.

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professorin the broad area of Computational Molecular Biology in the Molecular and Cell Biology cluster School of Biological Sciences The University of Hong Kong (Ref.:530459) to commence as soon as possible on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.

Novo Nordisk Foundation Center for Basic Metabolic Research University of Copenhagen We are looking to hire a highly motivated and dynamic Researcher with extensive expertise in genetic epidemiology biostatistics statistical genetics and/or machine learning to work on projects related to precision cardiovascular medicine in the Loos and Merino Groups.The position is a 3-year position starting March 1 2025 or after agreement.

We have two positions each as either a three-year PhD or a three-year postdoc available in the Gorodkin lab ( https://ivh.ku.dk/bioinformatics ) Center for non-coding RNA in Technology and Health (RTH) ( http://rth.dk ) at Department of Veterinary and Animal Sciences ( https://ivh.ku.dk/english ) Faculty of Health and Medical Sciences at University of Copenhagen.The projects concern safety when siRNAs and small peptides are applied as pesticides in plants and the aim is to develop the computational tools and analyses that will contribute to an environmental risk assessment framework for new bio-based plant protection products (PPPs).

Requisition Id14070 Overview: We are seeking a Postoctoral Researcher to work with Professor Jeremy C Smith along with a team of scientists modeling chemical and biophysical phenomena with deep learning assisted simulation methods.This position will perform modeling and simulation of biological systems in the Center for Molecular Biophysics along with chemical systems for projects within neutron and chemical sciences at Oak Ridge National Laboratory.