bioinformatician

Stanford University

<p>Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy  The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.</p><p>The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.</p><p>The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science.</p><p><strong>Duties include:</strong></p><ul><li>Collect, manage and clean datasets.</li><li>Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.</li><li>Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.</li><li>Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.</li><li>Analyze data processes in documentation.</li><li>Collaborate with faculty and research staff on data collection and analysis methods.</li><li>Provide documentation based on audit and reporting criteria to investigators and research staff.</li><li>Communicate with government officials, grant agencies and industry representatives.</li></ul><p><em> - Other duties may also be assigned</em></p> <p><strong>DESIRED QUALIFICATIONS:</strong></p><ul><li>Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.</li><li>Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. </li><li>Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.</li><li>Experience and comfort in working within a UNIX/Linux environment.</li><li>Background in programming languages such as Python, R, Matlab, Perl.</li><li>Good communication and team skills and fluency in both spoken and written English.</li><li>Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.</li><li>A background in oncology and/or immunology is preferred. </li><li>Knowledge of Monte Carlo based statistical methods.</li><li>Background in cancer biology.</li><li>Familiarity with predictive modeling and machine learning.</li><li>Skills in machine learning and data analysis software.</li></ul><p><br><strong>EDUCATION & EXPERIENCE (REQUIRED):</strong><br>Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.</p><p><br><strong>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</strong></p><ul><li>Substantial experience with MS Office and analytical programs.</li><li>Strong writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul><p><br><strong>PHYSICAL REQUIREMENTS :</strong></p><ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li></ul><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. <br><br><strong>WORKING CONDITIONS:</strong></p><p>Some work may be performed in a laboratory or field setting.</p><p><strong>WORK STANDARDS:</strong></p><ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul><p> The expected pay range for this position is $80,148 to $99,773 per annum. <br> Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. </p><p> At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . </p><p> Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. </p><img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeooPuIX86ZyOvtcP7MAZiJ6Om" width="0" height="0" />

Bioinformatician/Research Data Analyst 1

Servaid Pharmacy

<p><b>Location:</b> Remote (for a USA-based Startup)<br/><b>Experience Level:</b> 3+ Years (Computational Biology / Bioinformatics)<br/><b>Compensation:</b> Hourly USD rate (based on experience)<br/><b>Employment Type:</b> Remote | Contract / Part-Time<br/><b>Time Tracking:</b> Work hours monitored through a time-tracking tool</p><p><b>About the Role</b></p><p>A fast-growing <b>U.S.-based biotech startup</b> is seeking a <b>Computational Biologist / Bioinformatician</b> to support data-driven biological discovery. The ideal candidate will analyze multi-omics datasets, identify biomarkers, and collaborate with AI/ML engineers working on structure-based drug discovery and molecular modeling projects.</p><p><b>Key Responsibilities</b></p><ul><li>Source, curate, and integrate datasets from <b>TCGA, GEO, GTEx, ClinVar, gnomAD, and COSMIC</b>.</li><li>Harmonize clinical and omics metadata for consistent, reproducible datasets.</li><li>Perform <b>differential expression</b> and <b>survival analyses</b> to identify and validate biomarkers.</li><li>Deliver clean feature matrices, structured datasets, and analytical summaries for downstream use.</li><li>Collaborate with machine learning engineers using <b>AlphaFold</b> and <b>DiffDock</b> outputs.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Strong background in <b>molecular biology, cancer biology, or genomics</b>.</li><li>Hands-on experience with <b>RNA-seq analysis</b>, <b>DESeq2/edgeR</b>, and <b>survival analysis</b>.</li><li>Proficiency in <b>Python</b> or <b>R</b> (Bioconductor, pandas, NumPy, scikit-learn).</li><li>Experience with <b>SQL</b> and workflow automation tools (<b>Snakemake</b>, <b>Nextflow</b>, <b>Docker</b>, <b>Git</b>).</li><li>Ability to interpret and present statistical analyses clearly and accurately.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Familiarity with <b>single-cell RNA-seq</b> (Seurat or Scanpy).</li><li>Experience with <b>GDSC</b>, <b>DepMap</b>, or other drug response datasets.</li><li>Knowledge of <b>GSEA / pathway enrichment</b> analysis.</li><li>Understanding of <b>RDKit</b> or structure-based file handling.</li></ul><p><b>Why Join Us</b></p><ul><li>Work remotely with a dynamic, U.S.-based biotech startup.</li><li>Collaborate with global experts in genomics, ML, and molecular modeling.</li><li>Flexible work hours with transparent time tracking.</li><li>Competitive hourly USD compensation.</li></ul><p><b>To Apply:</b><br/>Send your updated CV and portfolio (if available) to <b>crewedge1@gmail.com</b></p><p>Job Type: Full-time</p><p>Pay: Up to Rs17.00 per hour</p><p>Expected hours: 40  &ndash; 48 per week</p><p>Application Question(s):</p><ul><li>Availability in overlapping time zones</li><li>Comfort with remote/time-tracked work</li></ul><p>Experience:</p><ul><li>Technical expertise (bioinformatics tools &amp; languages): 3 years (Preferred)</li><li>Practical experience with real datasets: 3 years (Preferred)</li></ul><p>Work Location: Remote</p>

Computational Biologist / Bioinformatician – Remote Opportunity – USD Hourly Rate

Mount Sinai Health System

<div><b>Description</b><p>
A grant-funded Bioinformatician position is available in a lab in the Windreich Department of AI and Human Health at Icahn School of Medicine at Mount Sinai. The Bioinformatician will work with a group of researchers on innovative analyses of genetic disease in electronic health records (EHR). The individual will support research projects by delivering bioinformatics services for medical, genetic, and multi-omic data. The specific project supported by this position focuses on using machine learning and AI methods to detect undiagnosed rare genetic disease in medical databases, including Mount Sinai patients. The ideal candidate will have strong statistical and programming proficiencies with proven expertise in machine learning and deep learning. Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required.</p><b><br>
Responsibilities</b><ul><li>
Conducts statistical and genetic analyses</li><li>
Uses software to gather, store, manipulate and analyze research data</li><li>
Develops and evaluates predictive models of rare genetic disease</li><li>
Work independently on a variety of bioinformatics analysis projects to support efforts in the lab</li><li>
Participate in the preparation of manuscripts and presentations</li><li>
Other related duties as assigned</li></ul><br>
<b>
Qualifications</b><ul><li>
B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; M.S. preferred</li><li>
3 years experience required</li><li>
Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.</li></ul><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000.17 - $87610 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Bioinformatician I - Windreich Department of AI & Human Health

<p>There is an open position at Stanford University in the Department of Ophthalmology for a bioinformatician with expertise in the analysis of genome-wide datasets related to gene expression. While reporting directly to the Chairman Dr. Jeffrey L. Goldberg, the position will collaborate with faculty in the Department who are performing projects in the field of Vision Research requiring bioinformatics expertise. The incumbent will contribute to project design, acquisition of data, interpretation, and publication of "-omics" datasets. The competitive applicant will have published research based upon RNA-seq, ChIP-seq, Hi-C, and other state- of-the-art technologies. There will be opportunities to train students and fellows in the use of these technologies.</p><p>Duties include:</p><p> Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards).</p><p> Supervise, coach and mentor a high-performing team of analysts.</p><p> Identify, leverage and partner with external firms.</p><p> Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.</p><p> Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.</p><p> Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.</p><p> Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation presentation.</p><p> Serve as a resource for non-routine inquiries such as requests for statistics or surveys.</p><p> Test prototype software and participate in approval and release process for new software.</p><p> Provide documentation based on audit and reporting criteria to investigators and research staff.</p><p> - Other duties may also be assigned</p><p>The expected pay range for this position is $132,498 - $157,989 per annum.</p><p><br>Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.</p><p>At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.</p><p> </p> <p>DESIRED QUALIFICATIONS:</p><p>Experience in the generation and analysis of genome-wide datasets, in particular related to the function of transcription factors, promoters and enhancers in a cell-type or pathological state specific manner. Experience with RNA-seq, ChIP-seq and similar technologies, both data generation and analysis.</p><p>EDUCATION & EXPERIENCE (REQUIRED):</p><p>Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.</p><p>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</p><p> Ability to direct the work of others, for jobs requiring supervision.</p><p> Relevant subject matter knowledge.</p><p> Substantial experience with MS Office and analytical programs.</p><p> Excellent writing and analytical skills.</p><p> Ability to prioritize workload.</p><p> Experience in advanced softward and coding skills for bioinformatics</p><p>CERTIFICATIONS & LICENSES:</p><p>None</p><p>PHYSICAL REQUIREMENTS :</p><p> Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</p><p> Occasionally use a telephone.</p><p> Rarely writing by hand.</p><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.</p><p>WORKING CONDITIONS:</p><p>Some work may be performed in a laboratory or field setting.</p><img src="https://www.jobg8.com/Tracking.aspx?zTrfLbIc2GOI2bvWvcZAja0pJ4LncGa2f" width="0" height="0" />

Ophthalmology Bioinformatics Core Director

Aganitha AI

<div><div><div><h4 class="jobSectionHeader"><b>Join us and contribute to the discovery of medicines that will impact lives!</b></h4></div></div>
<div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Hyderabad, India | Hybrid | Full-Time
</b></h3></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>About Aganitha</b></h3></div></div><div><div><p>
High-throughput experimentation, computational &amp; data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&amp;D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry.</p><p>
As a Scientist at Aganitha, you will be instrumental in leveraging cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will contribute to accelerating design and development across a spectrum of applications, including but not limited to: small molecule therapeutics, biologics, gene, cell &amp; RNA therapies within Biopharma; new product formulations for consumer brands; and novel materials for various industrial applications.</p><p>
You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the <i>in silico</i> solutions developed at Aganitha.</p><p>
To excel in this role, you must possess a strong interest in engaging with customers to apply the latest scientific and technological advancements for R&amp;D acceleration, thereby contributing to Aganitha&rsquo;s growth.</p></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3></div></div><div><div><ul><li><b>
Design and develop AI/ML models</b> to solve complex problems, such as predicting molecular properties, material behaviors, or reaction outcomes.</li><li><b>
Curate, process, and analyze scientific datasets</b> from various sources, including literature and experimental data, ensuring data quality and readiness for model training.</li><li>
The candidate should be skilled in analyzing high-throughput omics datasets such as single-cell, spatial, and genomic data, and in computational modeling of biological systems, including network and pathway analysis. They should also have expertise in the in-silico design and optimization of therapeutic candidates such as antibodies, RNA molecules, and viral vectors. Proficiency in bioinformatics tools, biological databases, and the application of AI/ML approaches for biological data analysis and predictive modeling is essential.</li><li><b>
Develop intelligent featurization strategies</b> that accurately represent chemical structures, physical properties, or biological interactions, drawing upon your scientific understanding.</li><li><b>
Implement, train, and evaluate cutting-edge Machine Learning and Deep Learning algorithms</b> (e.g., CNNs, RNNs, LSTMs, Transformer architectures) to build robust predictive models.</li><li><b>
Rigorously validate models</b> against client-provided data and established benchmarks, ensuring their accuracy, generalizability, and utility.</li><li><b>
Translate complex technical and scientific findings</b> into clear, actionable insights for both technical and non-technical stakeholders.</li><li><b>
Collaborate effectively</b> with computational chemists, data scientists, and wet lab scientists to define project requirements, iterate on solutions, and ensure successful deployment.</li><li><b>
Stay abreast of the latest advancements</b> in AI/ML, computational chemistry, and relevant scientific domains, continuously seeking opportunities to apply new methodologies.</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3></div></div><div><div><ul><li><b>
PhD, post-doctoral research, or equivalent higher studies</b> in Computational Chemistry, Cheminformatics, Materials Science, Chemical Engineering, Biochemistry, Computational Biology, Bioinformatics, Computational Physics, Medicinal Chemistry, Applied Mathematics, Applied Statistics, Fluid Dynamics or a closely related scientific discipline.</li><li>
Familiarity with one or more of the following core domain skills: High-throughput docking and QSAR studies, Atomistic or Coarse-grained Molecular Dynamics (including Enhanced MD using PLUMED, Langevin Dynamics, Brownian Dynamics, and Dissipative Particle Dynamics), Periodic or non-periodic Quantum Chemical Calculations, Ab initio MD simulations and QM/MM simulations, Cheminformatics using RDKit, Mathematical Modeling, or Computational Fluid Dynamics.</li><li><b>
Strong foundational understanding</b> of the scientific principles underlying computational chemistry, materials science, or related fields (e.g., colloidal chemistry, polymer science, surfactant chemistry, soft condensed matter physics, etc.).</li><li><b>
Solid mathematical intuition</b> of Machine Learning algorithms, including Deep Learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, and Transformer architectures.</li><li><b>
Proficiency in modular, typed, and object-oriented Python programming.</b></li><li><b>
A high-level understanding of the ML/DL project lifecycle</b>, from data preparation and feature engineering through model development, training, evaluation, and deployment.</li><li><b>
Excellent problem-solving skills</b> and the ability to apply critical thinking to complex scientific and technical challenges.</li><li><b>
Strong verbal and written communication skills</b>, with the ability to effectively communicate technical concepts to diverse audiences.</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3></div></div><div><div><ul><li>
Experience in effectively building and deploying ML solutions using popular frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn.</li><li>
Proficiency in shell scripting.</li><li>
Proficiency in working with Linux-based operating systems (e.g., Ubuntu, Fedora, CentOS, Debian).</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Big Plus</b></h3></div></div><div><div><ul><li>
Exposure to large language models (LLMs) such as ChatGPT, Claude, or Gemini, and practical experience in utilizing such tools for day-to-day work (e.g., writing research reports, understanding new concepts, generating code).</li><li>
Experience in optimal usage of High Performance Computing (HPC) resources.</li><li>
Familiarity with container-based usage of software and their dependencies (e.g., Docker).</li></ul></div></div></div></div></div></div></div><p></p>

Scientist (AI Modeling for Computational Sciences)

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5 bioinformatician jobs NEAR_ME

Bioinformatician/Research Data Analyst 1

Computational Biologist / Bioinformatician – Remote Opportunity – USD Hourly Rate

Bioinformatician I - Windreich Department of AI & Human Health

Ophthalmology Bioinformatics Core Director

Scientist (AI Modeling for Computational Sciences)