Job ID: 32963 Location: 450 Brookline Ave Boston MA 02215 Category: Fellowships Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview A full-time computational biology post doctoral research fellow position is available in the laboratory of Dr. Brian Crompton in the Department of Pediatric Oncology at the Dana-Farber Cancer Institute for a highly motivated individual.The Crompton laboratory is recruiting a postdoctoral research fellow to focus on analysis of multi-dimensional genomic data generated from highly unique cohorts of patient samples.

Job ID: 31944 Location: 450 Brookline Ave Boston MA 02215 Category: Research Laboratory Employment Type: Full time Work Location: Onsite: Full time on Campus Overview The Dana-Farber Cancer Institute seeks a Computational Biologist under the Department of Medical Oncology to work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine.This position will be working on projects in the CLL Center led by Dr. Jennifer Brown but will be working closely with Dr. Saud AlDubayans group for training and techniques.

Job ID: 33661 Location: 450 Brookline Ave Boston MA 02215 Category: Research Laboratory Employment Type: Full time Work Location: Onsite: Full time on Campus Overview We are thrilled to offer a unique position for a highly motivated student to join our team at the Molecular Imaging Core at the Dana-Farber Cancer Institute as an early career researcher upon graduation.This role is an excellent entry point for anyone who is passionate about spatial multiomics data analysis and interested in graduate school in biomedical research.

Job ID: 33219 Location: 450 Brookline Ave Boston MA 02215 Category: Fellowships Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview The Samur lab is conducting a search for a postdoctoral research fellow who will collaborate with medical and basic science researchers in study design analytical pipelines analysis and publication of cancer studies involving genomic analysis from next generation platforms and other high-throughput data.Located in Boston and the surrounding communities Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care.

We are seeking an innovative, collaborative and accomplished Scientist to lead our computational sciences team to support the development of RNA medicines using our next-generation, state-of-the-art technology.

To further the mission of the RBO, the university is seeking a candidate for the role of a Computational Scientist at the RBO. The Computational Scientist position presents an ideal opportunity to pursue a career in computational research or software engineering at a highly collaborative academic research environment.

The applicant should have a sound knowledge of cellular and molecular biology, and preferentially a degree in this field. We would like an applicant with aptitude and enthusiasm for computational analysis, with some experience of computational analysis of next generation sequencing data. We are looking for a team member who is ready to face scientific challenges, who is able to work independently when required, but also fully integrate into a tea. The successful candidate will also have excellent organisation, communication and presentation skills.

As a Research Programmer within the Centre for Clinical Genomics Informatics team at the GSC, you will be responsible for technical support for clinical programs through development, testing and validation of clinical bioinformatics processes. The Research Programmer will report to the Process Development Coordinator and is anchored within a team of exceptional computational scientists and programmers, who collaborate directly on the development and maintenance of robust, cost efficient, and competitive clinical genomics pipelines. By working within the GSCs bioinformatics facility, you will collaborate with clinical and research computational biologists and programmers across bioinformatics groups, clinical lab staff and the quality assurance group to deliver clinical diagnostic genomic testing for patients in BC.

Despite stunning advances in bringing new targeted therapies to the clinic, many cancer patients still face poor prognoses. We in the global Computational Biology and Digital Sciences (gCBDS) department at Boehringer Ingelheim believe that data analysis will be an essential pillar in our quest towards developing innovative and impactful therapies that improve the lives of patients.

In your new role you will lead and manage the Computational Biology Data Infrastructure (D&I) team within the Biberach part of our global organization.

Use computational methods and tools to analyze and integrate transcriptomic, proteomic and other omic data from human subjects to further characterize disease mechanisms and to identify new potential drug targets

The Computational Biology Data Analyst contributes to projects through multi-omics data scouting, data processing, quality control, and integration of both internal as well as external data. The analyst is a key contributor to ongoing internal meta data curation efforts to ensure maximal quality of the curated data sets. Building upon the data, the analyst drives the value generation of data-driven drug discovery, by delivering defined analysis and visualisations to the respective teams.

We are seeking a Scientist to join our computational biology group in the Center for Single Cell Studies (CSCS) within the Genomics team of Early Oncology Translation Medicine at AstraZeneca. This position is located in Barcelona, Spain and the scientist will be affiliated with the CSCS, based in the Greater Boston Area of Massachusetts, USA.

We are seeking an experienced computational biologist to join the Platform group at Kymera Therapeutics. The successful candidate will support pipeline projects by designing and analyzing genomics and proteomics experiments for target validation, mechanism of action, and biomarker identification. The candidate will be expected to perform rigorous analyses and present the results to project team members.

In this role, you will be at the forefront of reimagining neuroscience drug discovery using Recursion’s unique capacity to perform >1 million experiments per week. You will have the freedom and support to lead multiple computational and/or therapeutics projects from inception to preclinical development, with the ultimate goal of bringing life-changing therapeutics to patients living with neurological or neurodegenerative disease.

In this role, you will be at the forefront of reimagining neuroscience drug discovery using Recursion’s unique capacity to perform >1 million experiments per week. You will be part of multiple computational and/or therapeutics projects from inception to preclinical development, with the ultimate goal of bringing life-changing therapeutics to patients living with neurological or neurodegenerative disease.

In this role, you will be at the forefront of reimagining neuroscience drug discovery using Recursion’s unique capacity to perform >1 million experiments per week. You will be part of multiple computational and/or therapeutics projects from inception to preclinical development, with the ultimate goal of bringing life-changing therapeutics to patients living with neurological or neurodegenerative disease.

Perform data analysis tasks on a variety of projects that include analysis, integration and interpretation of NanoString, RNA-seq, spatial transcriptomics and other experimental data in the setting of immunotherapy.

We are looking for research associates with a quantitative background for research projects in the areas of Modelling and Biostatistics. They will be working within the team under the Principal Investigator, Associate Professor Alex R Cook and/or Senior Research Fellow Su Park.

We are seeking a highly-motivated scientist to join our collaborative multi-disciplinary team. The post holder will be working towards developing an organoid perfusion bioreactor to enable the study of microvascular perfusion, a functional parameter critical for microangiopathy progression. Based on the flow patterns and structural characteristics of a dysfunctional microvasculature, the post holder will generate a ‘digital twin’ model of vascular leakage.