bioinformatics computer scientist

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

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

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

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

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

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication skills in Arabic and English
 </li>
 </ul>
</div>

Capabilities & Insights Analytics Analyst - Healthcare

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