4 Bioconductor Jobs

Description Sr Biostatistician - Biomarker (EMEA Remote) Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. Job Responsibilities Major tasks: Collaborates with representatives from other functions to plan, execute and analyze all biomarker aspects (including genomics) of clinical studies or biomarker studies in the role of the biomarker statistician and assumes the role of project biomarker statistician under guidance of an experienced statistician Develops the Biomarker Evaluation Plan for the study as appropriate, ensuring overall consistency within and between projects Provides statistical input in clinical development discussions, and usage of AI and ML approaches. Facilitates the overall organization and coordination of statistical activities regarding biomarker research and development activities for specific studies and projects Conduct and design advanced data analysis for genomics and biomarker statistics, including statistical programming, and design complex analysis algorithms. Experience with RNA, olink and other biomarker data handling experience Assumes responsibility for the production and accuracy of the Biomarker Evaluation Report with respect to statistical deliverables and interpretation of the results. Works independently at routine and complex statistical questions, modeling and tasks. Develops and implements standard processes for the analysis of routine (parts of) biomarker assessments. Qualifications PhD or MSc in Biostatistics, Statistics or Mathematics, or related field Strong communication and interpersonal skills Ability to work independently as well as collaboratively, as required. Minimal supervision required. Usage of AI and ML approaches Previous experience in independently leading biomarker study mandatory Previous clinical trial experience, industry experience is preferred Strong knowledge on Biomarker evaluation, esp. In immunology and infections, type I diabetes, relevant parameters and underlying biology Good knowledge of statistical programming languages including R (Bioconductor package and other relevant R packages for genetic data), Python Analysis of high-dimensional data Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Hiring in select Europe countries only. Candidates must require no VISA sponsorship. This position is responsible for leading projects across multiple studies or programs. A Senior Biostatistician acts as the primary contact with the sponsor for all biostatistics related activities on assigned projects. This project will focus on Biomarker data.

You will be responsible for analyzing genetics, epigenetics, metagenomics, and metabolomics data obtained from high-throughput multiplex assays using advanced computational techniques. Your role will involve integrating various datasets to address specific biological questions and designing pipelines for statistical genetics programs for both basic and translational research purposes. Additionally, you will be expected to write manuscripts and contribute to various research studies while managing project deliveries, responding to customer queries, and addressing custom requirements from clients. As a Senior Bioinformatician, you must possess a basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis, including RNA-seq, Exome-seq, ChIP-seq, and downstream analysis, is essential. Proficiency in programming using Perl or Python, as well as experience in designing and developing bioinformatics pipelines, is required. Preferably, you should also have experience in statistical programming using R, Bioconductor, or Matlab. Knowledge in WGS, GWAS, and population genomics is advantageous. You should be adept at handling big data and capable of guiding team members across multiple projects simultaneously. Collaboration with different groups of clinical research scientists for various project requirements is expected. The ability to work effectively as part of a team or independently with minimal support is essential for success in this role.,

Job Description: We are seeking a passionate and detail-oriented Genomic Data Analyst to join our dynamic team for an innovative AI project in genomic analysis. The ideal candidate will have a strong background in bioinformatics or genomics, with hands-on experience in analyzing genomic data and next-generation sequencing (NGS) technologies. This role offers an exciting opportunity to apply your expertise in genomics to advance personalized medicine solutions through AI applications. Key Responsibilities: - Analyze and interpret complex genomic datasets derived from next-generation sequencing (NGS). - Employ bioinformatics tools to execute comprehensive data analysis and derive meaningful insights for precision medicine applications. - Collaborate with interdisciplinary teams, including data scientists and researchers, to integrate AI methodologies into genomic studies. - Develop and maintain data analysis pipelines to streamline genomic data processing and ensure data quality. - Conduct exploratory data analysis to identify significant patterns, variants, and biomarkers associated with diseases. - Create visualizations and reports to communicate findings effectively to both technical and non-technical stakeholders. - Stay updated on the latest advancements in genomic technologies and AI applications in genomics. Qualifications: - Master's degree in Bioinformatics, Genomics, Computational Biology, or a related field. - Relevant experience in genomic data analysis, particularly involving next-generation sequencing. - Proficiency in programming languages such as Python and R, with a strong understanding of the Bioconductor suite. - Familiarity with bioinformatics tools and databases (e.g., UCSC Genome Browser, NCBI GenBank, Ensembl). - Knowledge of AI applications in genomics is a plus, providing a competitive advantage. - Excellent problem-solving skills and the ability to engage in critical thinking. - Strong communication skills, both written and verbal, to convey complex information clearly. Job Type: Full-time Pay: Up to ₹10,000.00 per month Schedule: Monday to Friday Experience: total work: 1 year (Required) Work Location: In person Application Deadline: 23/02/2025

Analyzing genetics, epigenetics, metagenomics, and metabolomics data from high-throughput multiplex assays using advanced computational techniques. Integrating various datasets to address specific biological questions. Designing and developing pipelines for statistical genetics programs encompassing basic and translational research. Writing manuscripts and contributing to various research studies. Managing project deliveries, responding to customer queries, and handling custom requirements. Basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis (RNA-seq, Exome-seq, ChIP-seq, and downstream analysis). Expertise in programming with Perl/Python. Experience in bioinformatics pipeline design and development. Familiarity with statistical programming (R/Bioconductor/Matlab). Knowledge in WGS, GWAS, and population genomics (preferred). Experience handling big data and managing multiple projects simultaneously. Ability to collaborate with clinical research scientists for project requirements. Capable of working both independently and as part of a team. Skills : - Bioinformatics,genomics Genetics Analysis Epigenetics Metagenomics Metabolomics High-throughput Data Multiplex Assays Computational Techniques Data Integration Biological Data Analysis Statistical Genetics Pipeline Development Translational Research Manuscript Writing Research Contributions Project Management Customer Queries Custom Requirements Bioinformatics Software Genetic Data Processing Data-driven Research Location : - Madhapur, Telangana