bioinformatics computer scientist

University of Nebraska Medical Center

<div><div><h2 class="jobSectionHeader"><b>Requisition Details</b></h2>
<div><div><div>GENERAL REQUISITION INFORMATION
</div><p></p><div><div><div><div><b>EEO Statement:</b></div>
<div>UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.</div>
</div><br>
<div><div><b>Location</b></div> <div>Omaha, NE</div>
</div><br>
<div><div><b>Requisition Number:</b></div> <div>Staff_14324</div>
</div><br>
<div><div><b>Department</b></div> <div>Genetics Cell Biology &amp; Anatomy 50000507
</div></div><br>
<div><div><b>Business Unit</b></div> <div>College of Medicine</div>
</div><br>
<div><div><b>Reg-Temp</b></div> <div>Part-Time Regular</div>
</div><br>
<div><div><b>Work Schedule</b></div> <div>Monday - Friday, 8:00 AM - 5:00 PM</div>
</div><br>
<div><div><b>Remote/Telecommuting</b></div> <div>No remote/telecommuting opportunity</div>
</div><br>
<div><div><b>Position Summary</b></div>
<div>PART-TIME<br>
<br>
Position requires broad-based experience in bioinformatics research, analysis workflows and hardware and software support. The Bioinformatics Scientist works closely with the BSBC Director and interacts routinely with UNMC investigators, other scientists, graduate students, software and hardware industry representatives, service technicians, as well as key academic and industry collaborators to assist stakeholders in all stages of projects, including initial consultation, design, development, and analyses performed by the BSBC facility. This person coordinates the activities of core staff, manages Windows and Linux servers, databases and core websites, carries out necessary development work, helps organize workshops, participates in billing/budget operations, and presents BSBC core project development and core progress in campus-wide seminars.</div>
</div><br>
<div><div><b>Position Details</b></div>
<div><b><i>Additional Information</i></b></div>
</div><br>
<div><div><b>Posting Category</b></div> <div>Operations</div>
</div><br>
<div><div><b>Working Title</b></div> <div>Bioinformatics Data Scientist (Part-Time)</div>
</div><br>
<div><div><b>Job Title</b></div> <div>Research/Ag Specialist</div>
</div><br>
<div><div><b>Salary Grade </b></div><div>RA22S</div>
</div><br>
<div><div><b>Appointment Type</b></div> <div>B1 - REG MGR PROF SALARY</div>
</div><br>
<div><div><b>Salary Range</b></div> <div>$28,090 - $42,135/annual</div>
</div><br>
<div><div><b>Job Requisition Begin Date</b></div> <div>12/31/2025</div>
</div><br>
<div><div><b>Application Review Date</b></div> <div>01/08/2026</div>
</div><br>
<div><div><b>Review Date Information:</b></div>
<div>Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.</div>
</div><br>
</div></div></div><div><div>Required and Preferred Qualifications
</div><p></p><div><div><div><div><b>Required Education:</b></div> <div>Bachelor's degree</div>
</div><br>
<div><div><b>If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)</b></div>
<div>Computer Science, Computational Chemistry, Bioinformatics, or related Quantitative/Biomedical discipline)<br>
<br>
(Will consider additional related post high school education in lieu of required experience)</div>
</div><br>
<div><div><b>Required Experience</b></div> <div>2 years</div>
</div><br>
<div><div><b>If any experience is required, please specify what kind of experience:</b></div>
<div>Experience with Computational Chemistry, in silico drug screening, Bioinformatics data analysis, data management, system administration, pipeline design.<br>
<br>
(Will consider additional related post high school education in lieu of required experience)</div>
</div><br>
<div><div><b>Required License</b></div> <div>No</div>
</div><br>
<div><div><b>If yes, what is the required licensure/certification?</b></div>
</div><br>
<div></div><div><div><b>Required Computer Applications:</b></div> <div>Not Applicable</div>
</div><br>
<div><div><b>Required Other Computer Applications:</b></div> <div>General experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono.) Skilled with HPC administration, experience with job sc</div>
</div><br>
<div><div><b>Required Additional Knowledge, Skills and Abilities:</b></div>
<div>DNA and protein sequence alignment software (e.g., BLA ST, MUMMER); scientific and statistical software (e.g., MATLAB, R); software for next-generation sequencing {NGS) data management and analysis</div>
</div><br>
<div><div><b>Preferred Education:</b></div> <div>Doctoral degree or equivalent</div>
</div><br>
<div><div><b>If any degree/training is preferred, please specify the type:</b></div>
<div>Computer Science, Bioinformatics or related quantitative/biomedical discipline.</div>
</div><br>
<div><div><b>Preferred Experience:</b></div>
<div>Virtual screening of drug compound libraries using Schrodinger software suite, Scientific data analysis, data management, or related software development experience. Experience working with NGS data and other multi-omics data. Teaching or mentoring experience is highly desirable.</div>
</div><br>
<div><div><b>Preferred License:</b></div> <div>No</div>
</div><br>
<div><div><b>If yes, what is the preferred licensure/certification?:</b></div>
</div><br>
<div></div><div><div><b>Preferred Computer Applications:</b></div> <div>Not Applicable</div>
</div><br>
<div><div><b>Preferred Other Computer Applications:</b></div> <div>DNA and protein sequence alignment software (e.g., BLA ST, MUMMER); scientific and statistical software (e.g., MATLAB, R); software for next-generation sequencing {NGS) data management and analysis.</div>
</div><br>
<div><div><b>Preferred Additional Knowledge, Skills and Abilities:</b></div>
<div><div>Laboratory Information Management Systems {LIMS); Eclipse IDE; SG E, PBS or other batch job schedulers; Relational Database Management Systems {RDBMS) and SQL programming; Message Passing Interface {MPI) programming; CUDA/OpenCL/G PU programming; use of the MapReduce/Hadoop framework.</div><div>
The knowledge of or ability to quickly become familiar with and productive in any of a variety of programming languages and bioinformatic software applications in either conventional (data center), high-performance computing {HPC), or cloud computing environments.</div></div>
</div><br>
<div><div><b>Email to a Friend</b></div> <div>https://unmc.peopleadmin.com/postings/95230</div></div></div></div></div></div></div></div><p></p>

Bioinformatics Data Scientist (Part-Time)

Providence Swedish

<div><p><b>Description</b></p>
<p>We are seeking an Associate Bioinformatics Scientist who will be responsible for providing comprehensive bioinformatics support for the analysis and interpretation of advanced, high throughput molecular, genomic and clinical data types including gene expression, imaging, electronic medical records, etc. The Associate Bioinformatics Scientist will develop and apply bioinformatics methods and software tools for analysis and integration with clinical information and perform tasks to reduce and consolidate data output to help interpret and prioritize findings for numerous immuno-oncology focused projects.</p>
<p>Providence Swedish caregivers are not simply valued &ndash; they&rsquo;re invaluable. Join our team at Swedish Research and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.</p>
<p><b>Required Qualifications:</b></p>
<ul><li>Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology</li>
Master's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology -or<li>-</li>
<li>5 years of equivalent professional experience in lieu of Master's Degree</li>
<li>2 years of experience related to bioinformatics work in a clinical laboratory or experience in academia, biotechnology, or other healthcare field (preferably involving next generation sequence data analysis)</li>
<li>Significant computational experience</li>
<li>First-hand experience in clinical informatics and/or NGS analysis and methods as well as the computing infrastructure and data management methods</li>
<li>First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.</li>
<li>First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses</li>
<li>Proven experience and success in a team-oriented environment</li>
<li>Proven success in independent effort and delivering high quality data with biological relevance in a team environment</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Experience with the following:</li>
<li>Clinical data analysis/Large dataset analysis in R</li>
<li>Analyzing next generation sequencing data (DNA-seq, RNA-seq, etc.)</li>
<li>Commonly used database and bioinformatics tools for NGS data analysis (e.g.) bedtools, SAMtools, IGV, ANNOVAR, Bowtie, GATK, ChimeraScan, UCSC Genome Browser, Galaxy, SoftGenetics, CLC bio, TopHat, etc.)</li>
<li>Web framework (e.g. Django, Sinatra, Rails or others)</li>
<li>HTML/CSS, Javascript and SQL on NoSQL databases</li>
</ul><p><b>Why Join Providence Swedish?</b></p>
<p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally and achieving financial security. We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve.</p>
<p><b>About Providence</b></p>
<p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.</p>
<p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p>
<p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.</p>
<p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p>
<p><b>About the Team</b></p>
<p>Providence Swedish is the largest not-for-profit health care system in the greater Puget Sound area. It is comprised of eight hospital campuses (Ballard, Edmonds, Everett, Centralia, Cherry Hill (Seattle), First Hill (Seattle), Issaquah and Olympia); emergency rooms and specialty centers in Redmond (East King County) and the Mill Creek area in Everett; and Providence Swedish Medical Group, a network of 190+ primary care and specialty care locations throughout the Puget Sound. Whether through physician clinics, education, research and innovation or other outreach, we&rsquo;re dedicated to improving the wellbeing of rural and urban communities by expanding access to quality health care for all.</p>
<p>Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement.</p>
<p>For any concerns with this posting relating to the posting requirements in RCW 49.58.110(1), please click here where you can access an email link to submit your concern.</p>
<p><b>Requsition ID:</b> 407688
</p><p><b>Company:</b> Swedish Jobs
</p><p><b>Job Category:</b> Research
</p><p><b>Job Function:</b> Clinical Support
</p><p><b>Job Schedule:</b> Full time
</p><p><b>Job Shift:</b> Day
</p><p><b>Career Track:</b> Clinical Professional
</p><p><b>Department:</b> 3909 SRE ADMINISTRATION
</p><p><b>Address:</b> WA Seattle 1124 Columbia St
</p><p><b>Work Location:</b> Swedish First Hill 1124 Columbia-Seattle
</p><p><b>Workplace Type:</b> Hybrid
</p><p><b>Pay Range:</b> $39.45 - $61.24
</p><p>The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div><p></p>

Associate Bioinformatics Scientist

Alfaisal University

<div><div><div><h3 class="jobSectionHeader"><b>Assistant Professor of Bioinformatics (CoM#171225)</b></h3><div><ul><li>College of Medicine (CoM)</li>
</ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job Title</b></h4>
<p>Assistant Professor of Bioinformatics</p>
<h4 class="jobSectionHeader"><b>Background</b></h4>
<p>Alfaisal University College of Medicine invites applications for a full-time Assistant Professor of Bioinformatics in the Department of Anatomy and Genetics. The position supports the College&rsquo;s expanding research and postgraduate programs, including the MBS, PhD in Biomedical Sciences, and MD-PhD programs.</p>
<p>We are seeking a scholar with strong expertise in multi-omics data integration, computational genomics, next-generation sequencing analytics, and advanced bioinformatics workflow development. Candidates whose research intersects with microbial and viral genomics, host&ndash;pathogen interactions, metabolic disorders, cancer epigenetics, or precision medicine are encouraged to apply.</p>
<p>The successful candidate will join a growing academic environment with active collaborations across Saudi Arabia and the region. The role includes teaching, mentoring graduate students, supervising thesis research, and contributing to departmental growth in bioinformatics and computational biology.</p>
<h4 class="jobSectionHeader"><b>Job Description</b></h4>
<ul><li>Teach at undergraduate and postgraduate levels in bioinformatics, genomics, and computational biology.</li>
<li>Supervise MSc and PhD students and contribute to curriculum development.</li>
<li>Conduct independent research in bioinformatics and multi-omics analysis aligned with institutional priorities.</li>
<li>Develop computational pipelines and analysis frameworks for genomics, transcriptomics, methylomics, proteomics, and related datasets.</li>
<li>Contribute to grant writing, collaborative research, and publication in peer-reviewed journals.</li>
<li>Participate in departmental, college, and university service.</li>
</ul><h4 class="jobSectionHeader"><b>Job Type</b></h4>
<ul><li>Full Time Faculty Member</li>
</ul><h4 class="jobSectionHeader"><b>Discipline</b></h4>
<ul><li>Department of Anatomy &amp; Genetics - will contribute to teaching, research, and service within the &ndash; inter-professional anatomy courses
</li></ul><h4 class="jobSectionHeader"><b>Preffered Qualification
</b></h4><ul><li>PhD in Bioinformatics, Computational Biology, Genomics, Systems Biology, or a closely related field.</li>
<li>Strong track record of peer-reviewed publications in Q1 journals.</li>
<li>Demonstrated expertise in NGS analytics, including bulk RNA-seq, scATAC-seq, metagenomics, variant calling, and phylogenetics.</li>
<li>Proficiency in Python, R, workflow automation tools (Nextflow, Snakemake, Docker), and cloud/HPC computing.</li>
<li>Experience in multi-omics integration and computational modeling.</li>
<li>Evidence of teaching effectiveness or student mentorship.</li>
<li>Qualification from the western accredited universities will be preferred.</li>
</ul><br>
<b>Please upload CV in ENGLISH ONLY</b></div></div><p></p>

Assistant Professor of Bioinformatics

Amgen

<div><h2 class="jobSectionHeader"><b>What you will do</b></h2><p><b>
Let&rsquo;s do this. Let&rsquo;s change the world.</b><br>
We are seeking a highly qualified and motivated Principal Data Scientist with deep expertise in computational biology to join the Bioinformatics Technologies team within Amgen&rsquo;s Automation, Research Data Systems, Informatics, and AI (ARIA) organization. ARIA is a multidisciplinary group embedded within Amgen&rsquo;s discovery engine, applying advanced digital technologies to accelerate the path from target inception through drug development. Within ARIA, Bioinformatics Technologies develops and deploys innovative computational methods that enhance target identification, mechanistic characterization, early validation, and therapeutic discovery.</p><p><br>
In this role, you will lead and expand computational and systems biology capabilities that support Amgen&rsquo;s pre-clinical discovery engine, with a strong emphasis on generating insights from functional genomics, multimodal omics, and other high-dimensional biological datasets. You will provide both scientific and people leadership to a team of data scientists applying next-generation computational, statistical, and AI/ML approaches to identify therapeutic targets, uncover biomarkers, refine disease hypotheses, and guide experimental strategies across early research. This position plays a critical role in strengthening the data-driven foundation of Amgen&rsquo;s pre-clinical value chain by elevating analytical rigor and improving interpretation of complex biological data.</p><p></p><p>
The ideal candidate brings strong analytical aptitude, deep technical expertise in computational sciences, and a solid theoretical foundation in advanced statistical and machine learning methods. These skills must be complemented by a strong understanding of molecular biology and functional genomics, along with a proven track record of innovative and collaborative research demonstrated through impactful peer-reviewed publications.<br>
<br>
RESPONSIBILITIES:</p><ul><li>
Mentor junior biological data scientists working on functional genomics, disease biology, and multi-omics analytics to support pre-clinical target discovery and early validation.</li><li>
Develop, implement, and apply advanced computational / AI/ML / statistical methods and workflows to analyze high-dimensional multi-modal omics datasets for target identification, mechanism elucidation, and biomarker hypothesis generation.</li><li>
Drive innovation in design and execution of computational analyses supporting high-throughput screens to map gene-phenotype relationships, prioritize candidate targets, and guide experimental follow-up.</li><li>
Collaborate with experimental biology and translational research teams to align computational predictions with biological context, guide study design, and translate computational insights into actionable pre-clinical hypotheses.</li><li>
Design and implement computational workflows for cutting-edge functional genomics and multi-omics technologies (e.g., single-cell, spatial, long-read sequencing, phenotypic and virtual perturbation screens), using advanced AI/ML/deep-learning methods to simulate cellular responses, derive mechanistic insights, and prioritize therapeutic hypotheses for preclinical validation.</li><li>
Foster a culture of scientific innovation and collaboration within the team by encouraging creative problem-solving, continuous learning, cross-disciplinary exchange, and reproducible experimentation with emerging computational and omics methodologies.</li><li>
Communicate project results and data-driven recommendations to stakeholders and cross-functional partners.</li><li>
Monitor, review, and critically interpret published computational research in the field of computational biology, bioinformatics, and systems biology.<br>
</li></ul><h2 class="jobSectionHeader"><b>
Win</b></h2><p><b>
What we expect of you</b></p><p>
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.</p><h2 class="jobSectionHeader"><b><br>
Basic Qualifications:</b></h2><p>
Doctorate degree in computer science, biomedical data science, computational biology, bioinformatics, or systems biology; preferably with post-doctoral training and industry experience</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Master&rsquo;s degree and 6+ years of biomedical data science, computational biology, bioinformatics, systems biology or related field</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Bachelor&rsquo;s degree and 8+ years of biomedical data science, computational biology, bioinformatics, systems biology, or related field</p><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications:</b></h2><ul><li>
Demonstrated track record of scientific productivity in computational biology, bioinformatics, or related research settings.</li><li>
Track record of mentoring, team leadership or supervision within a formal or matrix structure, preferably in a multidisciplinary environment, helping to grow junior scientists and foster innovation, collaboration, and scientific rigor within a data-science team.</li><li>
Proven experience working at the intersection of computational biology, functional genomics, and drug-discovery/preclinical research (e.g., target identification, biomarker discovery, mechanistic modeling).</li><li>
Demonstrated success in applying machine learning, deep learning, generative modeling, topological data analysis, or causal inference to multimodal omics, functional genomics, single-cell, spatial, or long-read sequencing data to generate biologically meaningful hypotheses.</li><li>
Strong programming and data-science skills, including proficiency in Python and/or R; demonstrated experience with large-scale data analysis and high-dimensional biological data; and comfort working in high-performance or cloud computing environments under modern data-science workflows.</li><li>
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery.</li><li>
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy.</li><li>
Strong interpersonal and collaborative skills with demonstrated ability to thrive in cross-functional teams and effectively present results to diverse audiences.</li><li>
Creative, open-minded, and passionate about research, with a proven record of innovative algorithm and model development demonstrated through impactful publications, patents, or widely adopted tools.</li></ul></div>

Principal Data Scientist - Computational & Systems Biology

EPAM Systems

<div><p>Our client, a leading global pharmaceutical company, is seeking a highly skilled and motivated <b>Bioinformatics Scientist</b> to join their international research organization, driving innovation across multiple therapeutic areas. In this role, you will design, evaluate, and optimize computational methods for large-scale next-generation sequencing (NGS) analysis, contributing directly to discovery and development programs. You will build robust, production-grade bioinformatics workflows for high-performance computing (HPC) clusters and cloud environments, collaborating closely with biologists, data scientists, and domain experts across Oncology, Immunology, Infectious Diseases &amp; Vaccines, Neuroscience, and Pharmacokinetics.</p><p><b>
Responsibilities</b></p><ul><li>
Develop, benchmark, and optimize computational methods to analyze diverse NGS datasets</li><li>
Build and maintain scalable, automated bioinformatics pipelines for HPC and cloud-based execution</li><li>
Partner with interdisciplinary scientific teams to translate research needs into reproducible analytical workflows</li><li>
Evaluate and implement new algorithms, tools, and computational strategies to enhance data processing capabilities</li><li>
Produce clear technical documentation, reports, and scientific deliverables</li></ul><p><b>
Requirements</b></p><ul><li>
PhD with 1+ year of experience in bioinformatics, or MSc with 5+ years of relevant experience</li><li>
Hands-on experience in processing NGS datasets (WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, single-cell, etc.)</li><li>
Practical experience with workflow/pipeline scripting languages (e.g., Nextflow)</li><li>
Strong understanding of computational methods for alignment, assembly, variant detection, enrichment, or related genomics applications</li><li>
Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc.)</li><li>
Proficiency in Python, R, or C++ within a Unix/Linux environment</li><li>
Experience with high-performance computing clusters and cloud computing platforms</li><li>
Ability to independently troubleshoot using documentation, GitHub, and online resources</li><li>
Proven scientific publication record</li><li>
Strong collaboration, communication, and interpersonal skills</li><li>
Excellent written and spoken English (B2 level or higher)</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with containerization technologies, such as Docker or Singularity</li><li>
Experience in applying or optimizing machine learning tools within a bioinformatics context</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Python Scientific Informatics Engineer

Jeyalaskshmi Neuro Fuzzy Research Centre

<p>Job Summary</p><p><b>Role:</b> Python AI Developer &ndash; Cheminformatics / Bioinformatics</p><p>We are seeking a highly motivated <b>Python AI Developer with a strong background in Cheminformatics, Bioinformatics, or Computational Biology</b> to join our growing scientific AI team. The ideal candidate will work on advanced AI-driven scientific modeling, molecular data analysis, and predictive systems for chemical and biological applications. This role involves applying machine learning, deep learning, and generative AI techniques to solve complex problems in drug discovery, molecular design, biological data analysis, and scientific prediction.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy <b>AI/ML models for chemical and biological data</b> using Python.</li><li>Build and optimize <b>machine learning and deep learning models</b> for:</li><li>Molecular property prediction</li><li>QSAR/QSPR modeling</li><li>Bioactivity and toxicity prediction</li><li>Omics data analysis (genomics, proteomics, transcriptomics)</li><li>Apply <b>cheminformatics techniques</b> such as molecular fingerprints, descriptors, similarity search, and scaffold analysis.</li><li>Work with <b>bioinformatics datasets</b>, including sequence data, structural data, and biological annotations.</li><li>Develop <b>generative AI models</b> for:</li><li>De novo molecular design</li><li>Chemical space exploration</li><li>Protein or peptide sequence generation (where applicable)</li><li>Implement and fine-tune <b>graph-based models</b> (e.g., GNNs) for molecules and biological networks.</li><li>Perform statistical analysis and data visualization for scientific insights and validation.</li><li>Collaborate with domain experts, data scientists, and software engineers to integrate models into <b>production-grade scientific platforms and APIs</b>.</li><li>Stay current with advances in <b>AI for drug discovery, cheminformatics, and bioinformatics</b>, and translate research into practical solutions.</li></ul><p>Required Qualifications</p><ul><li>Strong proficiency in <b>Python</b> and scientific computing libraries (NumPy, Pandas, SciPy).</li><li>Solid understanding of <b>machine learning and deep learning</b> concepts.</li><li>Hands-on experience with <b>PyTorch or TensorFlow</b>.</li><li>Experience with <b>cheminformatics or bioinformatics libraries</b>, such as:</li><li>RDKit, DeepChem, Open Babel (Cheminformatics)</li><li>Biopython, Scanpy, PyTorch Geometric, or similar (Bioinformatics)</li><li>Familiarity with <b>molecular representations</b> (SMILES, InChI, graphs, fingerprints).</li><li>Knowledge of <b>statistics, data analysis, and scientific data visualization</b>.</li><li>Strong analytical and problem-solving skills, particularly for scientific datasets.</li></ul><p>Preferred Qualifications</p><ul><li>Experience with <b>drug discovery pipelines</b>, molecular docking, virtual screening, or structure-based modeling.</li><li>Familiarity with <b>graph neural networks (GNNs)</b> and molecular deep learning architectures.</li><li>Exposure to <b>MLOps</b>, model deployment, REST APIs, and scalable AI systems.</li><li>Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) for scientific workloads.</li><li>Knowledge of <b>version control (Git)</b> and collaborative software development practices.</li><li>Research experience, publications, or contributions to <b>open-source scientific AI projects</b> are a strong plus.</li></ul><p>Education</p><ul><li>Degree in <b>Chemistry, Biotechnology, Bioinformatics, Computational Biology, Chemical Engineering, Computer Science, Data Science</b>, or a related field.</li><li>Equivalent practical experience in <b>scientific AI or computational research</b> will also be considered.</li></ul><p>About Us</p><p><b>JVL Technologies</b> (http://www.jvltechnologies.com) is a cutting-edge software company specializing in <b>AI-driven scientific modeling, prediction, and automation</b>. The company focuses on applying advanced artificial intelligence, machine learning, and data analytics to domains such as <b>chemical sciences, biotechnology, healthcare, and industrial research</b>. JVL Technologies builds intelligent platforms that bridge scientific research and real-world applications, enabling faster discovery, deeper insights, and scalable innovation.</p><p>Why Join Us?</p><ul><li>Opportunity to work on <b>real-world AI applications in chemistry, biotechnology, and life sciences</b>.</li><li>Exposure to <b>advanced scientific AI, molecular modeling, and data-driven discovery platforms</b>.</li><li>Collaborative, research-oriented, and growth-focused work environment.</li><li>Competitive compensation and opportunities for continuous learning and professional development.</li></ul><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: From ₹12,000.00 per month</p><p>Work Location: In person</p>

Python AI Developer Biotech/Chemical

Cyber Security Academy Southampton

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 Interview Date: in the week commencing 26 January 2026
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  Project Summary
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 An exciting opportunity is available to join the laboratories of Dr Salah Mansour and Dr Ali Roghanian at the University of Southampton. We are seeking a collaborative and motivated postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML).
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 This three-year project will harness cytotoxic invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke
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 The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics,
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  Key Responsibilities
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   To work within the Mansour and Roghanian labs, and with collaborators at Southampton and beyond.
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   To design, conduct, and analyse in vitro and in vivo immunology experiments.
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   To lead the optimisation and functional assessment of human T cells and CAR T cells.
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   To liaise and coordinate between project collaborators and core facilities.
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   To record analyses accurately and present results at group meetings, national, and international conferences.
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   To contribute to dissemination of findings through publications and grant applications.
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   To supervise and support junior researchers and students.
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   Any other duties appropriate to the scope and grade of the post.
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 Postdoctoral Fellows are expected to lead their own projects, collaborate on others, and guide PhD and Master&rsquo;s students.
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  Essential Qualifications, Experience And Competencies
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   PhD (or near completion) in human T cell immunology, cancer biology, or a related discipline.
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   Strong practical experience with core immunological assays (e.g. FACS, ELISA, T cell assays).
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   Proven competence in the design and execution of experiments using mouse models of cancer.
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   Ability to manage projects to timelines, supervise junior staff, and work both independently and collaboratively.
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   Excellent communication and presentation skills, including at conferences.
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  Desirable
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   Experience with single-cell or bulk sequencing (e.g. 10X Genomics, RNA-seq).
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   Familiarity with bioinformatics pipelines and large dataset interpretation.
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   Experience in engineering human T cells, viral transduction, or related approaches.
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   Home Office Personal Licence.
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  About Us
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 The University of Southampton offers a strong environment for translational immunology. Clinical and Experimental Sciences (CES) is a hub for infection and immunology, while the Centre for Cancer Immunology (CCI) is the UK&rsquo;s first dedicated cancer immunology centre. Together, they unite expertise in T cell biology, multiomics, immunotherapy, preclinical modelling, and clinical translation, supported by an embedded Clinical Trials Unit and close links with NHS and industry partners.
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  Working At The University Of Southampton
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 Check out the staff benefits and why you should join us at The University of Southampton!
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  Applicants Should Provide
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   A CV
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   A cover letter outlining suitability for the role
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   Contact details for at least two recent referees
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 Email details to a friend
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 Apply Online
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  Further Details
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   Job Description and Person Specification
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 As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
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 Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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Research Fellow in Cancer Immunotherapy

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