bioinformatics analyst

The Geneva Foundation

<div>At Geneva, we are always on the search for top talent. While this role is not associated with a current opening, one may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar, at anytime. 
 
About the Position 
 
The Bioinformatics Analyst will use computational and statistical tools to interpret vast biological datasets to support scientific research and discoveries. Duties will include designing algorithms, databases, collaborating with researchers, and analyze and communicate complex findings through visualizations and reports.
QUALIFICATIONS<ul><li>
Masters Degree in Bioinformatics, Computational Biology, Genetics, Pre-Med/Nursing, or a related scientific field preferred</li><li>
AHIC (Health Informatics Certification) is a plus</li><li>
1 year medical paraprofessional experience</li><li>
1 year working in clinical informationcs department at an accredited university</li><li>
Minimum 2-3 years of combined experience next generation sequencing (NGS) data analysis, adept in the development of Next-Generation Sequencing (NGS) analysis pipelines and large-scale data management and processing</li><li>
Minimum 3 years of experience in full software development life cycle with strong skills in software analysis, database design, data modeling, different data types architecture development and data management</li><li>
Experience working with internal and/or external stakeholders on solution design and implementation</li><li>
Programming languages: R, PHP, JavaScript, Perl, Python, SQL, Shell Scripting and Java. Computing Environments: HPC clusters, SLURM, Linux, Mac OS X, Windows</li><li>
Working knowledge of biomedical ontologies (i.e. UMLS, RxNorm, SNOMED CT)</li><li>
Working knowledge and understanding of unstructured, semi-structured, and structured healthcare data</li><li>
Strong familiarity with surgical and molecular pathology repotts, next-generation sequencing report, or clinician notes</li><li>
Demonstrated competency in oral and written communication</li><li>
Must be organized, attentive to detail and reliable, possess good judgment and a positive, friendly &amp; professional demeanor</li><li>
Must be flexible with changing priorities and able to communicate in a diplomatic and professional manner</li></ul>
RESPONSIBILITIES<ul><li>
Translate PI/study needs through design and configuration of software capabailities to deliver desired outcomes and customization of use</li><li>
Modify software application design as needed to meet PI/study needs</li><li>
Design &amp; implement algorithms fpr data processing, and develop &amp; maintain bioinformatics databases</li><li>
Work closely and collaborate with researchers, computer scientists, and others involved to design experiments and interpret results</li><li>
Utilizes high performance computing assets and large data bases (big data)</li><li>
Analyses of problems to develop integrated solutions involving computer hardware and software</li><li>
Applies theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses</li><li>
Incorporate problem solving techniques to develop integrated solutions involving computer hardware and software</li><li>
Identify complex problems and review related information to develop and evaluate options and implement solutions</li><li>
Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems</li><li>
Perform highly complex network tasks and systems studies</li><li>
Analyze and compare existing systems and subsystems, and make recommendations to increase scope and performance</li><li>
Oversee laboratory information systems and develop new methods for analyzing large, complex data sets</li><li>
Maintain up-to-date knowledge of clinical informatics</li></ul></div>

BioInformatics Analyst

Cincinnati Children's Hospital

At Cincinnati Children’s Hospital Medical Center - consistently recognized as one of the nation’s top places to work and a global leader in pediatric research and care - we are driven by a shared commitment to discovery, collaboration, and impact. We are seeking a highly motivated Bioinformatics Analyst or a Postdoctoral Research Fellow at various career stages. Exact position and title will be commensurate with the candidate’s qualifications and experience.
 
The Computational Regulatory Genomics Laboratory develops statistical and machine learning–based methods to understand the fundamental mechanisms of gene transcriptional regulations in various biological contexts. Our research focuses on enhancer regulation and systems-level understanding of enhancer architectures and functions across diverse biological contexts. We integrate multi-omics data, including ChIP-seq, ChIP-exo, CUT&RUN, GRO-seq, csRNA-seq, RNA-seq, ATAC-seq, Hi-C, and single-cell technologies, to delineate heterogeneous architectures of transcription factor binding events and chromatin landscapes at high resolution. The lab broadly collaborates with multiple experimental laboratories, encompassing metabolism, cancer, and development. The lab’s works were published in many high-profile journals such as Nature, Cell Metabolism, Molecular Cell, Genes & Development, Circulation, Nature Communications, and the Journal of Clinical Investigation.
 
JOB RESPONSIBILITIES
 
Informatics
 
Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases).
 
Collects and records appropriate metadata.
 
Ensures data are securely stored yet highly accessible to authorized users.
 
Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization.
 
Data Analysis
 
Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing).
 
Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage).
 
Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible.
 
Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients.
 
Maintains computational infrastructures and controls the flow of data and information for studies.
 
Provides web-based bioinformatics tools and access to public and proprietary relational databases.
 
Documents standard operating procedures based on best practice.
 
Works in collaboration with both technology and scientific teams.
 
Requirements Gathering
 
Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows.
 
Problem-solves and discusses possible solutions with the stakeholders.
 
Considers the implications of possible solutions on the current environment.
 
Software Evaluation & Development
 
Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows.
 
Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation.
 
Effectively communicates the status of all efforts to necessary parties.
 
Utilizes project and time management skills to complete projects within specific timeframes.
 
Publication
 
Contributes to analyses and publications.
 
Generates reports and figures for publications.
 
Assists with materials for publications and scientific meetings.
 
Works closely with biostaticians on the production of publication and presentation materials.
 
JOB QUALIFICATIONS
 
Bioinformatics Analyst: 
Master's or doctoral degree in a related field
 
2+ years of work experience in a related job discipline OR equivalent combination of education and experience
 
Research Fellow: 
Doctoral degree in a related field
 
4+ years of work experience in a related job discipline OR equivalent combination of education and experience
 
Primary Location Exploration Avenue
 
Schedule Full time
 
Shift Day (United States of America)
 
Department Biomedical Informatics
 
Employee Status Regular
 
FTE 1
 
Weekly Hours 40
 
About Us
 
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
 
Cincinnati Children's is: 
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
 
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
 
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
 
One of the nation's America’s Most Innovative Companies as noted by Fortune
 
Consistently certified as great place to work
 
A Leading Disability Employer as noted by the National Organization on Disability
 
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
 
 We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
 
Comprehensive job description provided upon request.
 
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability

Senior Bioinformatics Analyst

Top Seekers Co.

.Job title: Assistant ResearchField/ Specialization: BioinformaticsRoles and Responsibility:1. Assist in conducting literature reviews and summarizing scientific articles2. Support data collection, data entry, and database organization3. Help with sample processing and basic laboratory procedures (if applicable)4. Assist in bioinformatics/statistical analysis under supervision5. Prepare figures, tables, and draft sections for reports or manuscripts6. Maintain accurate research records and documentation7. Support ethics submission and regulatory paperwork preparation8. Coordinate meetings, schedules, and communication with collaborators9. Help manage research files, protocols, and project timelines.10. Participate in presentations, progress updates, and team discussions11. Write a pipelines and execute themQualifications:Master BioinformaticsBenefits:Financial Allowances&middot; Housing allowance.&middot; Transportation allowance.&middot; Cost of living allowance.&middot; Leadership/administrative allowance (if applicable depending on the position).&middot; Annual increment.Travel and Education Benefits&middot; A minimum of five travel tickets per year.&middot; Education for children within the Kingdom of Bahrain only.&middot; 50% of baggage transportation costs for international recruitment.Insurance&middot; Health insurance for the employee.&middot; Life insurance (optional).Leave&middot; 60 days of paid annual leave.&middot; 30 days of paid sick leave per year.&middot; Development and Secondment Opportunities&middot; Annual secondment opportunities:&middot; Secondment within Gulf countries.&middot; International secondment.Location: BahrainInterested candidates may send the CV with recent photo and certificates to:Email: topseekers@batelco.com.bhOr WhatsApp:+973 33930088 (No calls, message only)Job Type: Full-timeApplication Question(s):<ul><li>What is your notice period to join?</li><li>What is your nationality?</li><li>What is your age?</li><li>What visa are you on currently?</li><li>Are you currently residing in Bahrain? If not, which country?</li><li>What are your monthly salary expectations?(in BHD)</li><li>What is your current salary?</li><li>Do you hold a Masters in Bioinformatics?</li></ul>Experience:<ul><li>research: 1 year (Preferred)</li></ul>Language:<ul><li>English (Fluent) &amp; Arabic (Preferred) (Required)</li></ul>Work Location: In person

BIOINFORMATICS - ASSISTANT RESEARCH

Qatar University

<div><ul><li>Design and implement biostatistical and bioinformatics pipelines for omics and large-scale biological data (e.g., genomics, transcriptomics, epigenetics, metabolomics)</li><li>
Perform complex statistical analyses, including modeling, hypothesis testing, and predictive analytics</li><li>
Provide consultation on experimental design and assist in interpreting results with a strong emphasis on scientific rigor</li><li>
Support and co-author scientific publications, grants, and research proposals in coordination with faculty and research teams</li><li>
Collaborate across interdisciplinary teams including clinicians, laboratory scientists, computational biologists, and project managers</li><li>
Lead the integration of data pipelines and platforms, ensuring compatibility with clinical and research standards</li><li>
Mentor junior staff, including training in biostatistics and bioinformatics tools and best practices</li><li>
Participate in recruitment efforts and contribute to the development of a bioinformatics/biostatistics section</li><li>
Remain current with methodological advancements in bioinformatics, statistics, and data science</li></ul>
Qualifications
 PhD in Biostatistics or related field
Required Documents
<div>Non Academic:</div>
<div><ul><li>Curriculum Vitae with cover letter.</li></ul>
<ul><li>Experience Certificates.</li></ul>
<ul><li>At least three references including contact numbers and email addresses.</li></ul>
<ul><li>Highest Academic Qualification.</li></ul></div>
Academic:
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits
<div>Non Academic:</div>
<div><ul><li>Competitive tax-free salary.</li></ul>
<ul><li>Housing allowance in accordance with HRM Law.</li></ul>
<ul><li>Annual air tickets for candidate and dependents according to QUHR policies.</li></ul>
<ul><li>Public health care and health insurance to candidate and family members according to QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with HRM Law.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
Academic:
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply New Applicant: You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Biostatistician

GenBio AI

<div>
 GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
 
 
 This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
 
 
 As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Source &amp; Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives
 </li>
 <li>
 Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage
 </li>
 <li>
 Design &amp; Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training
 </li>
 <li>
 Structure &amp; Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines
 </li>
 <li>
 Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation
 </li>
 <li>
 Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation
 </li>
 <li>
 Ensure Data Quality &amp; FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility
 </li>
 <li>
 Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation
 </li>
 <li>
 Knowledge Sharing &amp; Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences
 </li>
 <li>
 Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.)
 </li>
 <li>
 Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc
 </li>
 <li>
 Scripting &amp; Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow)
 </li>
 <li>
 Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker)
 </li>
 <li>
 AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch)
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Bioinformatics Data Engineer

Tract Bio

OverviewTract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.Key Responsibilities&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.&middot; Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.Required Qualifications&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.&middot; Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Preferred Qualifications&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.&middot; A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.&middot; Deep understanding of molecular biology, immunology, or oncology&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Relocation assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.</li></ul>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Deep understanding of molecular biology, immunology, or oncology.Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Education:<ul><li>Doctorate (Preferred)</li></ul>Security clearance:<ul><li>Confidential (Required)</li></ul>Ability to Relocate:<ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul>Work Location: In person

Bioinformatics Scientist

Aga Khan University

<div><div>Research Coordinator, Paediatrics &amp; Child Health -MC - (260001JB)</div><div>
<div>
</div><div>Introduction:</div><div></div><div>
The Outreach and Research Programme of the Department of Paediatrics and Child Health has ten community-based field sites across Pakistan including four in Karachi and focuses on research for betterment of women and child health. The Department has a Nutritional Research Laboratory as well as an Infectious Disease Research Laboratory that cater to the needs of its research projects. It has well-acclaimed work to its credit both at the national and international level.</div><div> 
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees or trainees and partners to share this commitment.</div><div>
Responsibilities:</div><div>
You will be responsible to supervise and monitor the research activities, including data collection as well as maintain necessary records, create and sustain liaison with the relevant stakeholders for the smooth implementation of all necessary activities of the project. Specific responsibilities include to:</div><div></div><div><ul><li>
working with the Principal Investigator or research supervisor to establish and achieve the aims and objectives of research projects</li><li>
developing and running sequence analysis pipelines for next‑generation sequencing data, including human and pathogen datasets</li><li>
curating and maintaining software tools, reference datasets, and bioinformatics pipelines for research use</li><li>
preparing written documentation for algorithms, validations, QC, SOPs, and pipeline updates</li><li>
contributing to manuscript writing and the development of research outputs</li><li>
supporting faculty members in planning, managing, and conducting research by recommending appropriate analytical methods</li><li>
presenting results of bioinformatics analyses and software testing internally and externally</li><li>
conducting literature reviews, testing, and validation of new data analysis tools</li><li>
preparing and presenting weekly project activity reports</li><li>
performing any other task assigned by the supervisor.</li></ul></div></div><div></div><div><div> 
</div><div>Requirements:</div><div>
 You should have:</div><div></div><div><ul><li>
 MS in Bioinformatics, Computational Biology, Computer Science, or equivalent in a related field</li><li>
one to two years of relevant experience</li><li>
sensitivity to cultural differences and ability to work in diverse environments</li><li>
strong time management and task prioritization skills</li><li>
ability to work effectively as part of a team</li><li>
strong communication and interpersonal skills</li><li>
resilience and ability to work under pressure</li><li>
strong organisational skills with ability to manage long‑term and day‑to‑day tasks</li><li>
ability for critical thinking and independent learning</li><li>
knowledge and experience using scientific tools, technologies, and online resources.</li></ul> 
This is a close-ended position.
Comprehensive employment checks will be conducted.</div><div>
Disclaimer:</div><div>
The Aga Khan University is committed to the principles of equal employment opportunity for all employees and to providing employees with a work environment which is free from discrimination and harassment. All employment decisions at AKU are based on business needs, job requirements and individual&rsquo;s qualifications and experience, without regard to race, colour, caste or creed, national, social or ethnic origin, gender (except where gender is a bona fide occupational qualification). AKU does not discriminate among the job candidates on account of any of these characteristics.</div><div> 
</div></div><div>
Primary Location: Pakistan</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Employee Status: Contractual</div><div>
Job Type: Experienced</div><div>
Job Posting: 09/04/2026, 6:36:01 AM</div><div>
Closing Date: 19/04/2026, 1:59:00 PM</div></div>

Research Coordinator, Paediatrics & Child Health -MC

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