bioinformatics specialist

Aequor

<div>
 
 
 Job Title: Bioinformatics Research Associate II
 
 
 
 
 Location: Waltham, MA 02451
 
 
 
 
 Duration: 12 Months Contract
 
 
 
 
 Shift: 1st Work Schedule: 9 - 5; Mon &ndash; Fri
 
 some wiggle room if they need to come in earlier leave earlier, Onsite but if they need a day or two here and there they can request a day to work remote
 
 
 
 Remarks:
 
 
 
 DIL: bio to support next gen sequencing group. Some are in lab, some are writing codes and analytical pipelines, working within client coding and development systems, collab with lab team, lots of coding, work with quality teams to ensure meeting metrics.
 
 
 Should have experience with at least one or two of the following. e.g., FastQC, Bowtie2, SAMtools, NCBI BLAST+, Nextflow, etc.). NGS pipeline development.
 
 
 A strong candidate would have Coding experience, papers published on coding, need next gen sequencing analysis, gene therapy group so if they have some experience in that or bio that would be a great advantage. Relevant experience is more important than degree for the role. Does not want to see anyone with zero coding experience. No mention of the tools list would be a hard pass.
 
 
 
 
 
 PHD candidate will be overqualified
 
 
 
 
 
 
 Position Overview
 
 :
 
 
 We are seeking a motivated Bioinformatics Research Associate II to join the Next Generation Sequencing (NGS) Core group to support genomic analyses of multiple therapeutic modalities within the Genomic Medicine Unit (GMU) CMC organization. The role is responsible for leading the analysis of gene therapy driven projects, interfaced within a cross-functional team, to develop and implement genomic analytical solutions for programs spanning precandidate selection through late phase clinical development. The ideal candidate will be expected to support end-to-end NGS analysis solutions, through analytical pipeline design and execution. Strong independent problem solving and troubleshooting skillsets are preferred.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Support computational needs for the development and validation of NGS-based assays.
 
 
 &bull; Work closely with a multi-disciplinary team of scientists and engineers to implement genomic analytical solutions for programs spanning precandidate selection through late phase clinical development.
 
 
 &bull; Develop, execute, and maintain NGS analysis pipelines for execution in cloud-based computational environments.
 
 
 &bull; Keep records of development work and testing in a GxP environment utilizing electronic notebook solutions.
 
 
 &bull; Represent the group at internal meetings.
 
 
 
 
 
 
 Basic Qualifications:
 
 
 
 &bull; Degree in a relevant computer science discipline with a minimum of 3 years of relevant industry experience.
 
 
 &bull; Minimum of 1 year experience with NGS, spanning knowledge and hands-on dry-lab experience.
 
 
 &bull; Expertise in bioinformatics with a working understanding of genomic analysis solutions (e.g., FastQC, Bowtie2, SAMtools, NCBI BLAST+, Nextflow, etc.).
 
 
 &bull; Scripting experience in coding languages (e.g., bash, awk, Python, R, etc.).
 
 
 &bull; Understanding of NGS platforms, specifically those utilizing the synthesis by sequencing technique (i.e., Illumina platforms).
 
 
 &bull; Ability to work independently and adapt under aggressive and/or changing timelines.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Familiarity with the software development lifecycle (e.g., Git).
 
 
 &bull; Automated unit testing for test driven design (TDD).
 
 
 &bull; Familiarity with basic molecular biology techniques (e.g., ligation, PCR, and qPCR) as well as nucleic acid extraction and analysis techniques (e.g., Nanodrop, DNA fragment analyzers, ddPCR, etc.).
 
 
 &bull; Knowledge of and experience with other sequencing platforms (i.e., SMRT sequencing).
 
 
 &bull; Prior experience in leading the internalization of custom NGS analysis pipelines is highly preferred.
 
 
 &bull; Wet-lab method development experience to support NGS workflows.
 
 
 
 
 
 Please contact me if you are interested. Thank you.
 
 
 
 
 Thanks &amp; Regards
 
 
 
 Mukesh Sharma
 
 
 
 Lead Recruiter
 
 
 O 609-874-0494
 
 
 Emukesh.sharma@aequor.com
 
 
 
</div>

Bioinformatics Specialist

Craftner INC

<div><h6 class="jobSectionHeader">Remote | Contract</h6>
<h4 class="jobSectionHeader">Preferred Skills</h4>
Bioinformatics, NSG 
 
 
 
 
<h4 class="jobSectionHeader">Job Description</h4>
Bachelors/Masters in Bioinformatics or related discipline 

5+ years of work experience

Experience in Next Generation Sequencing (NGS)

Experience with testing algorithms (Good to have knowledge of - mapping, variant calling and fusion detection algorithms)

Experience in Perl/Python scripting

Experience is Unix/Linux environment

Good understanding or working knowledge of software testing/STLC.

Excellent communication skills to communicate with multiple department managers 
 
 
<h5 class="jobSectionHeader">For immediate consideration, please forward your Word resume to sheetal@craftner.com</h5></div>

Bioinformatics QA

Sidra

<div>JOB SUMMARY
The Research Specialist I performs routine and moderately complex scientific laboratory technical work, selecting and applying laboratory procedures and techniques to assignments with clear, specific objectives. Assignments may require investigation of a number of variables and complex features. He/she works with general supervision. The incumbent is required to exercise judgment in making technical decisions related to delegated tasks and escalating complex issues.
KEY ROLE ACCOUNTABILITIES
<ul><li>Contributes to the delivery of departmental goals, through personal effort in own work area.
</li><li>Makes recommendations to the Investigator regarding improvements in methods and processes.
</li><li>Works under general supervision, performs all routine lab procedures, and associated responsibilities, as dictated by the workload in the rostered area.
</li><li>Solves moderately complex problems and performs a specific variety of technical assignments within broader projects.
</li><li>Modifies practices and techniques in routine situations to perform duties, adjusts and correlates data, recognizes discrepancies in results.
</li><li>Contributes to ongoing research projects in the laboratory that include taking measurements and recording observations, collecting, compiling and processing data.
</li><li>Assists in procurement of additional/new funding through contributions to technical proposal preparation and/or presentations.
</li><li>Trains junior lab technical staff in basics of research workflow.
</li><li>Adheres to lab SOPs and performs quality control checks.
</li><li>Stays current with literature in ongoing and proposed research projects.
</li><li>Assesses lab inventory and orders supplies when needed.
</li><li>Presents novel research and techniques to research group.
</li><li>Adheres to Sidra&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
</li><li>Adheres to and promotes Sidra&rsquo;s Values
</li></ul>In view of the evolving needs and opportunities within Sidra, this position may be required to perform other duties as assigned and reporting relationships may vary.
QUALIFICATIONS, EXPERIENCE AND SKILLS &ndash; SELECTION CRITERIA
Education
Bachelor&rsquo;s degree in bioinformatics, computational biology, computer science, Software Engineering or relevant field.
Experience
3+ years of experience in research laboratory environment or 1 year of work experience in Sidra.
Exceptions to the experience requirement may be granted for Qatari nationals (internal and external candidates), with a reduction of up to two (2) years.
Job Specific Skills and Abilities.
Essential
<ul><li>Proficiency in programming languages such as Python, R, C++, or Java
</li><li>Basic Knowledge of SQL/NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
</li><li>Basic Knowledge database querying, optimization, and API integration
</li><li>Knowledge in developing user-friendly interfaces with HTML, CSS, JavaScript, and front-end frameworks (e.g., React, Shiny, Quarto)
</li><li>Familiarity with dynamic data visualization tools (e.g., Plotly, ggplot2)
</li><li>Solid knowledge in Linux/Unix environments and command-line tools
</li><li>Proficiency with version control systems (e.g., Gitlab, Github).
</li><li>Familiarity with bioinformatics tools (e.g., BWA, GATK, STAR) and biological databases (e.g., Ensembl, NCBI).
</li><li>Demonstrated functional knowledge and laboratory experience in relevant field.
</li><li>Evidence of ongoing continual development and personal development.
</li><li>Demonstrated functional knowledge and laboratory experience in relevant field.
</li><li>Evidence of ongoing continual development and personal development.
</li><li>Demonstrated strong analytical, problem solving and decision-making skills.
</li><li>Demonstrated knowledge and understanding of biomedical research, research equipment and environmental safety and accident prevention measures.
</li><li>Demonstrated excellent communication and interpersonal skills.
</li><li>Excellent organizational skills.
</li><li>Proficiency with Microsoft Office suite.
</li><li>Fluency in written and spoken English . 
</li></ul>Preferred
Basic Knowledge of workflow management systems (e.g., Snake make, Next flow, or CWL)
Familiarity with high-performance computing (HPC) environments and job schedulers (e.g., LSF, Slurm)
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Singularity)
Exposure to machine learning and data science frameworks (e.g., TensorFlow, Scikit-Learn)</div>
 <div><div>About US</div>
<div><div>Sidra Medicine a healthy population is essential to a strong, prosperous society, and throughout 2020, Sidra continued to provide uninterrupted comprehensive specialist healthcare services for children and young people; and exceptional maternity, gynecology, and reproductive medical services for women, previously unavailable in Qatar and the region.&rdquo; &ndash; H.H Sheikha Moza bint Nasser, Chairperson of Qatar Foundation
</div><div>Sidra Medicine represents the vision of Her Highness Sheikha Moza bint Nasser who serves as its Chairperson. This high-tech facility is home to world-class patient care, scientific expertise, and educational resources.</div></div></div><div></div>

Research Specialist I

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

AstraZeneca

<div>Job Title: Biobank Associate Principal Informatician
Location: Gaithersburg, MD US
Job Summary:<div>
Human Biological Samples (HBS) are fundamental to medical research in the discovery, development and implementation of new treatments and diagnostics. HBS are ethically sensitive materials, and the collection, handling and access to HBS are subject to strict regulations, principles and ethical guidelines.</div><div> 
This role is responsible for collecting, managing, and analyzing data to derive insights and support decision-making processes.This role also owns the enterprise biobanking capability model, defining what biobanking automation, AI, and digital platforms exist, why they are needed, and how they scale across Biocentres.
Accountabilities:<div><ul><li>
Lead the design and governance of biobanking informatics ecosystems to support end-to-end sample biobanking.</li></ul></div><div><ul><li>
Define and advance the informatics strategies for biocentre operations, enabling scalable data models, real-time operational visibility</li></ul></div><div><ul><li>
Advance analytics to improve samples traceability, operational efficiency, and decision-making across biobanking workflows</li></ul></div><div><ul><li>
Ensure robust data integrity across biobanking systems, establishing standards and controls to maintain accurate, complete, and traceable sample data across LIMS, instruments, orchestration platform and downstream analytical environments</li></ul></div><div><ul><li>
Enable advanced analytics and operational insights for Biocentre biobanking operations, developing frameworks for RT-monitoring, performance metrics, and predictive analytics to support data-driven decision-making, improve operational efficiency and enhance sample visibility</li></ul></div><div><ul><li>
Understands the processes, technology and services the study team relies on, their needs and pain points. Uses this knowledge to supply advice and guidance, removes barriers, supplies solutions and finds opportunities for improvement.</li></ul></div><div><ul><li>
Partner with R&amp;D IT (Information Technology), Global Clinical Solutions, Business Process Management Office (BPMO), to govern and productize clinical operations workflows and enable real-time decisioning and predictive analytics.</li></ul></div><div><ul><li>
Build and lead cross functional solutions; run pilots to scaled adoption; measure ROI and operational impact.</li></ul></div><div><ul><li>
Research and analyses business context, users, and roadmap for assigned solutions</li></ul></div><div><ul><li>
Ensure customer requirements are understood, critically evaluated, prioritised and addressed within the given area.</li></ul></div> 
Essential Requirements:<ul><li>
Masters degree in Bioinformatics/ Biotechnology required, PhD preferred; 2-4 years experience in automation</li></ul><div><ul><li>
Defines vision, roadmap, prioritize effective to drive growth opportunities for automation and use of AI</li></ul></div><div><ul><li>
Design and implement AI/ML and workflow automation for Global Biosample initiatives</li></ul></div><div><ul><li>
Practical experience working with large datasets and normalised database structures</li></ul></div><div><ul><li>
Build and lead cross functional solutions; run pilots to scaled adoption</li></ul></div><div><ul><li>
Research and analyses business context, users, and roadmap for assigned solutions</li></ul></div><div><ul><li>
Ensure Biosamples requirements are understood, critically evaluated, prioritised and addressed within the given area.</li></ul></div><div><ul><li>
Ability to take business requirements and translate these into technical requirements</li></ul></div><div><ul><li>
Networking skills, ability to interact widely and effectively both within the company (on both an interdepartmental and interdisciplinary basis) and externally</li></ul></div><div><ul><li>
Excellent verbal and written communication skills and ability to build strong relationships</li></ul></div><div><ul><li>
Experience in collaborating and sharing knowledge between teams</li></ul> 
Desired Experience<ul><li>
2-4 years experience in AI enabled digital platform</li></ul>
AstraZeneca is committed to making a difference by fusing data and technology with scientific innovations to achieve breakthroughs. We empower our teams to explore the biology of complex diseases, making bold decisions without fear of failure. Our inclusive environment fosters collaboration across academia, biotechs, and industry, leveraging diverse global knowledge for swift impact on disease. With opportunities for continuous learning and career development, AstraZeneca is where curious minds thrive as we push the boundaries of science to deliver life-changing medicines. 
The annual base pay (or hourly rate of compensation) for this position ranges from $143,323.20 - $214,984.80 USD Annual Our positions offer eligibility for various incentives&mdash;an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.</div></div></div>

Biobank Associate Principal Informatician

Lifebit

<div>A World-Changing Company at Lifebit

At Lifebit, we're driven by the mission to make complex data analysis simpler and more accessible. We empower key institutions worldwide to revolutionize their data utilization and technology integration. Lifebit is powering the world&rsquo;s federated data platforms for population-scale health and life sciences. Our Federated AI Platform is trusted across federal health agencies, national health systems, and global pharma to unlock sensitive biomedical and real-world data securely, compliantly, and at scale.

We are rapidly expanding our presence in the U.S. federal health market and building a local team to support programs across the various federal agencies. Join us if you're inspired to tackle meaningful challenges and want to launch your career in health technology and cloud-based data solutions. 
The Role

This is an exciting opportunity to join Lifebit&rsquo;s growing US team. This is a hybrid technical and customer-facing role, bridging sales, solution engineering, and customer success. We are looking for a Solutions Manager with experience in one or more of the following specialties: Bioinformatics/Computational Biology, Cloud Infrastructure, Real-World Data and/or Genomic Medicine. The ideal candidate understands real-world data (RWD), harmonization, and privacy-preserving linkage &mdash; and can translate complex technical capabilities into value for federal stakeholders and researchers. In addition, you enjoy working hands-on with Lifebits commercial team, scientists, software engineers, and clients to solve challenges in the world of Genomics and Precision Medicine. 
You will support federal business development efforts with technical credibility in meetings, demos, and proposals. Acting as the technical solutions lead for prospective and current customers (e.g., DHA, NIH/NIA, CMS-linked studies) you will ensure customer success post-sale by guiding deployment, adoption, and integration of Lifebit&rsquo;s Federated AI Platform. 
Based in the Washington, DC/DMV area, you&rsquo;ll work closely with prospective and current clients, showcasing the capabilities of Lifebit&rsquo;s platform through tailored demonstrations and technical selling. This position is integral to enabling customer success by aligning Lifebit&rsquo;s solutions with clients&rsquo; technical needs and business goals. 
Your Role and Responsibilities

Pre-Sales &amp; Federal Engagement
<ul>
<li>Partner with Sales and Federal Programs leadership to position Lifebit&rsquo;s platform in capture and proposal activities.</li>
<li>Deliver technical presentations, demos, and solution workshops to Canadian health agencies.</li>
<li>Translate RFI/RFP requirements into clear solution architectures aligned to Lifebit&rsquo;s product capabilities.</li></ul> 


Solution Delivery &amp; Customer Success
<ul>
<li>Serve as the technical point of contact for customers post-sale, ensuring seamless onboarding and adoption.</li>
<li>Guide deployments around data ingestion, harmonization (OMOP, HL7 FHIR, CDISC), and Privacy-Preserving Record Linkage (PPRL).</li>
<li>Work with customer admins and researchers to configure federated access, metadata cataloging, and TRE (Trusted Research Environment) capabilities.</li>
<li>Experience in working with a variety of data sources from Claims, third-party EHR and CMS.</li></ul> 


Collaboration &amp; Enablement
<ul>
<li>Act as a bridge between customers, sales, and product engineering &mdash; feeding back federal-specific requirements.</li>
<li>Train and enable end-users (researchers, analysts, clinicians) across no-code, low-code, and high-code personas.</li>
<li>Contribute technical expertise to proposals, whitepapers, and federal solution documents.</li></ul> 


What You Bring to the Table
<ul>
<li>Education: MSc in Biology, Bioinformatics, Computational Biology, or a closely related advanced technical field.</li>
<li>3&ndash;5+ years in a technical solutions, solutions engineering, or customer success role (ideally in federal health / life sciences).</li>
<li>Strong understanding of real-world data (RWD): claims, EHR, genomics, imaging, unstructured data.</li>
<li>Experience with data harmonization and interoperability standards (OMOP, HL7 FHIR, CDISC, Sentinel CDM).</li>
<li>Experience with scripting or analytical tools (Python, SQL, RStudio, or Jupyter) and workflow language (Nextflow, Snakemake or WDL)</li>
<li>Familiarity with federated architectures and PPRL/linkage technologies (e.g., Datavant).</li>
<li>Comfort engaging with both technical and non-technical stakeholders in NIH, DHA, or comparable agencies.</li>
<li>Strong presentation, communication, and proposal support skills.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience supporting Federal health RFPs, proposals, or capture efforts.</li>
<li>Knowledge of FedRAMP, HIPAA, NIST 800-53, FISMA Moderate requirements.</li>
<li>Hands-on with research/analytics tools (RStudio, Jupyter, SQL, Python) and cloud (AWS GovCloud / Azure Government).</li>
<li>Background in biomedical informatics, data engineering, or public health research.</li></ul> 


What We Offer

Lifebit is synonymous with a dynamic work culture that encourages both personal and professional growth. Our mission-driven organization is dedicated to making a significant impact in science and healthcare.

We provide a comprehensive benefits package, including:
<ul>
<li>Compensation: Your work is rewarded with a competitive salary and performance-based incentives.</li>
<li>Professional Development: You are granted an annual personal development budget and access to leading industry conferences, training, and certifications.</li>
<li>Flexible Working: Receive 25 days of annual leave and hybrid remote work to maintain a healthy work-life balance.</li>
<li>Diverse Team Culture: Join an international and diverse team passionate about transforming healthcare through data.</li>
<li>Deep Technology &amp; Science: Get exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields</li>
</ul>
Join us at Lifebit for a career that promises to be your next significant venture, dedicated to advancing the scientific and healthcare fields by delivering transformative platforms for aging, defense health, and biomedical research. Don't miss the chance to be part of our mission! 
Life at Lifebit

Lifebit is dedicated to fostering an environment where employees can flourish, valuing individual strengths, skills, and passions. We prioritize health and well-being, offering comprehensive benefits and support. Our hybrid work model encourages in-office collaboration to maximize creativity and innovation, with flexibility for remote work as needed. Lifebit is proud to be an equal opportunity employer, committed to diversity, equity, and inclusion. 
Join us in reshaping the future of data analysis and technology integration. 
Location: Washington DC</div>

Senior Solutions Manager - Federal Health - USA

New Jersey Institute of Technology

<div>Title: 
Hourly Data Analyst 
 
Department: 
Computer Science 
 
Reports To: 
Distinguished Professor 
 
Position Type: 
Staff 
 
Position Summary: 
We are seeking a highly motivated Hourly Data Analyst (MS level) in Bioinformatics to support computational analysis of next-generation sequencing (NGS) data in a multidisciplinary biomedical research environment. The successful candidate will assist with the analysis and interpretation of high-throughput sequencing datasets and collaborate with experimental and computational researchers. 
 
Essential Functions: 
<ul><li>Perform bioinformatics analysis of NGS datasets, including RNA-seq, RIP-seq, and related sequencing assays.</li><li>Process raw sequencing data, including quality control, alignment, quantification, and downstream analysis.</li><li>Develop and maintain analysis pipelines using standard bioinformatics tools and scripting languages.</li><li>Conduct statistical analysis and visualization of genomic data.</li><li>Assist in interpreting results and preparing figures, reports, and documentation for publications and presentations.</li><li>Work closely with laboratory researchers to integrate computational analysis with experimental design.</li></ul> 

Prerequisite Qualifications: 
<ul><li>MS degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.</li><li>Experience with NGS data analysis (e.g., RNA-seq, RIP-seq, ChIP-seq or similar).</li><li>Proficiency in Python, R, or similar scripting languages, and familiarity with Linux/Unix environments.</li><li>Experience with bioinformatics tools for sequence alignment, differential expression analysis, and genomic data processing.</li><li>Strong analytical, organizational, and communication skills.</li><li>At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.</li></ul> 

Salary Information: 
In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $25.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. 
 
FLSA: 
Non-Exempt 
Part-Time</div>
 <div><ul><li>New Jersey Institute of Technology (NJIT) is an Equal Employment Opportunity (EEO) employer committed to fostering a diverse, equitable, and inclusive environment across our teaching, research, and workplace communities. NJIT does not discriminate on the basis of race, color, national origin, sex, sexual orientation, gender identity or expression, disability, age, religion, ancestry, genetic information, military or veteran status, or any other characteristic protected by law. We strongly encourage applications from women, minorities, individuals with disabilities, and veterans, and are dedicated to ensuring access, equal opportunity, and reasonable accommodations for individuals with disabilities in all employment, programs, services, and activities.</li><li>
Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here.</li><li>
If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, Room 500, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu.</li><li>
Information regarding NJIT campus security, personal safety, and fire safety including topics such as, disciplinary procedures, crime prevention, NJIT Police law enforcement authority, crime reporting policies, and crime statistics for the most recent three year period is available on the NJIT Department of Public Safety here.
</li><li>NJIT is an E-Verify employer and uses E-Verify to confirm work authorization of each new hire.</li></ul></div>

Hourly Data Analyst

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