4 Remote Bioinformatics Scientist jobs in whatjobs

Remote Bioinformatics Scientist

00500 Ongata Rongai, Rift Valley KES150000 Annually WhatJobs

Posted 25 days ago

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Job Description

full-time
Our client is seeking a highly skilled and motivated Bioinformatics Scientist to join their fully remote research and development team. This is an exceptional opportunity for an experienced professional to contribute to groundbreaking research in genomics, proteomics, or systems biology. You will be instrumental in designing and implementing computational strategies to analyze complex biological datasets, extract meaningful insights, and drive scientific discovery. Responsibilities include developing and applying bioinformatics tools and algorithms, managing large-scale biological data, performing statistical analysis, and contributing to the interpretation of experimental results. The ideal candidate will possess a strong academic background, significant experience in bioinformatics, and a proven track record of successfully analyzing diverse omics data. You should be proficient in relevant programming languages (e.g., Python, R, Perl) and familiar with bioinformatics databases, tools, and workflows. Excellent problem-solving skills, meticulous attention to detail, and the ability to work independently and collaboratively in a remote setting are crucial. You will be expected to communicate complex scientific findings clearly and effectively, both in writing and through virtual presentations. A dedicated home office equipped for advanced computational work is necessary. This role offers the chance to work on challenging projects, collaborate with leading researchers, and make a tangible impact on scientific advancements, all from the convenience of your home.
Key Responsibilities:
  • Develop and apply computational and statistical methods for analyzing biological data (genomics, transcriptomics, proteomics, etc.).
  • Design and implement bioinformatics pipelines and algorithms.
  • Manage, curate, and analyze large-scale biological datasets.
  • Interpret experimental results and provide actionable scientific insights.
  • Collaborate with experimental biologists and other researchers on project design and execution.
  • Stay abreast of the latest advancements in bioinformatics and computational biology.
  • Contribute to scientific publications and presentations.
  • Ensure the integrity and quality of data analysis performed in a remote environment.
Required Qualifications:
  • Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
  • Demonstrated experience in analyzing large biological datasets using bioinformatics tools and approaches.
  • Proficiency in programming languages such as Python, R, or Perl.
  • Familiarity with common bioinformatics databases (e.g., NCBI, Ensembl) and software packages.
  • Strong understanding of statistical principles and their application in biological data analysis.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Effective written and verbal communication skills for remote collaboration and reporting.
  • Proven ability to work independently and manage research projects in a remote setting.
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Remote Bioinformatics Scientist

70200 Garissa, North Eastern KES130000 Annually WhatJobs

Posted 10 days ago

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Job Description

full-time
Our client, a leader in innovative scientific research, is actively seeking a highly skilled and analytical Remote Bioinformatics Scientist to join their cutting-edge virtual research team. This fully remote position offers a unique opportunity to apply computational expertise to complex biological datasets, driving discoveries in areas such as genomics, transcriptomics, and proteomics. You will be integral in designing and implementing computational strategies, developing analytical pipelines, and interpreting large-scale biological data to uncover new insights and support research objectives.

Key Responsibilities:
  • Develop, implement, and maintain bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, ChIP-Seq, WGS).
  • Perform statistical analysis and interpretation of large biological datasets to identify significant patterns, biomarkers, and biological mechanisms.
  • Design and execute computational experiments to answer complex biological questions.
  • Collaborate with biologists, geneticists, and other researchers in a remote setting to define project requirements and interpret results.
  • Develop and utilize scripts and programs for data processing, visualization, and analysis (e.g., Python, R, Perl).
  • Stay current with the latest advancements in bioinformatics tools, algorithms, and databases.
  • Contribute to the writing of research proposals, manuscripts, and presentations.
  • Ensure data integrity, quality control, and reproducibility of analyses.
  • Manage and organize large datasets efficiently using appropriate computational infrastructure.
  • Troubleshoot and optimize existing bioinformatics workflows.

Qualifications:
  • Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
  • Minimum of 3 years of experience in bioinformatics analysis, with a strong understanding of molecular biology principles.
  • Proven expertise in analyzing genomic, transcriptomic, or proteomic data.
  • Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Bash) and experience with relevant libraries.
  • Familiarity with bioinformatics databases and publicly available datasets.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments is highly desirable.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to present complex computational findings clearly.
  • Ability to work independently, manage multiple projects, and meet deadlines in a remote research environment.
  • Experience with version control systems (e.g., Git) and collaborative software development practices.
This is an exceptional opportunity to contribute to groundbreaking scientific research and advance your career in bioinformatics within a flexible and collaborative remote setting.
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Remote Bioinformatics Scientist

50100 Bungoma, Western KES3500000 Annually WhatJobs

Posted 13 days ago

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Job Description

full-time
Our client, a cutting-edge biotechnology research firm, is seeking a highly skilled and innovative Remote Bioinformatics Scientist to drive advancements in genomic and proteomic data analysis. This is a fully remote position, allowing you to contribute to groundbreaking scientific research from anywhere, with a focus on projects relevant to global health challenges, potentially impacting regions around Bungoma, Bungoma, KE . The scientist will be responsible for developing and applying computational approaches to analyze large-scale biological datasets, including next-generation sequencing (NGS) data, transcriptomics, proteomics, and metabolomics. You will play a key role in identifying genetic variations, understanding disease mechanisms, and discovering novel biomarkers. Key responsibilities include designing and implementing bioinformatics pipelines, utilizing statistical methods and machine learning algorithms, and collaborating with molecular biologists, geneticists, and clinicians. Proficiency in programming languages such as Python, R, and Perl, along with experience in relevant bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), is essential. Familiarity with cloud computing platforms (AWS, GCP) and high-performance computing environments is highly desirable. The ideal candidate holds a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field, with a minimum of 5 years of post-doctoral or industry experience in bioinformatics research. Exceptional analytical, problem-solving, and communication skills are critical for interpreting complex data and effectively communicating findings to interdisciplinary teams. This remote role offers a unique opportunity to work on impactful research projects, push the boundaries of biological discovery, and contribute to improving human health.
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Remote Bioinformatics Scientist

20100 Mwembe KES120000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time
Our client is seeking a highly skilled and innovative Bioinformatics Scientist to contribute to cutting-edge research and development initiatives. This is a fully remote position, requiring you to leverage your expertise in computational biology to analyze large-scale biological datasets. Your responsibilities will include developing and implementing computational pipelines for the analysis of genomic, transcriptomic, and proteomic data. You will collaborate with experimental biologists and data scientists to interpret research findings, identify potential therapeutic targets, and contribute to the design of novel experiments. The ideal candidate will possess a strong background in genomics, molecular biology, and statistics, with extensive experience in scripting languages such as Python or R, and familiarity with bioinformatics tools and databases. Experience with cloud computing platforms (e.g., AWS, GCP) and machine learning techniques applied to biological data is highly desirable. You must be capable of working independently, managing multiple projects simultaneously, and effectively communicating complex scientific information to both technical and non-technical audiences. This remote role demands a proactive approach to problem-solving and a commitment to advancing scientific discovery. You will be an integral part of a dynamic research team, driving innovation in a rapidly evolving field. This fully remote role focuses on impactful research relevant to our client's scientific objectives, with operational considerations for **Nakuru, Nakuru, KE**. The ability to contribute novel analytical approaches and interpret complex biological data is paramount.
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