Bioinformatics Jobs

The Position Bioinformatics Cloud Software Engineer... Genentech seeks a talented and highly motivated Software Engineer to develop a cloud based genomic analysis system in support of our Translational Genomics efforts. Our Translational Genomics efforts span the interface of human genetics, functional genomics, molecular biology, disease model engineering, tissue and cellular profiling, and advanced computational methodology. The primary focus of this position is to extend our existing orchestration system for large scale genomic analysis workflows into the cloud to enable Genentech researchers to scale the throughput of their genomic and genetic analyses as needed. Solutions will need to integrate cloud native concepts with microservice based components in an existing software ecosystem. A successful candidate will collaborate with interdisciplinary teams of Software Engineers, DevOps engineers and Computational Biology Scientists to design and implement cloud native software solutions with an emphasis on service-oriented architecture and containerized workflows. The work includes requirements gathering, design and architecture, as well as backend and frontend development. The candidate will use best practices of continuous integration and software delivery to accommodate the fast pace of innovation in Genentech Research. Successful candidates will meet many of the following requirements • You have a Masters degree or equivalent in Software Engineering, Computer Science, Bioinformatics, or similar and 6-10 years of relevant experience in an academic or commercial setting. • You have successfully planned and implemented multiple software projects throughout the whole development cycle (planning, implementation, testing, release, maintenance) following modern software development practices. • You are a full-stack software developer (backend+frontend) that if needed maintains its own dev-ops tool chain, but plays well with enterprise level solutions. • You are able to break down large problems into smaller microservice based components and can develop them independently or as part of a large team. • You have experience with cloud related concepts such as deployment via Kubernetes or AWS cloud formation, Monitoring and containerization. • Experiences and expertise with cloud related concepts such as building infrastructure using Terraform, AWS Cloud Formation, AWS Batch, Lambda and Code Pipeline is a must - an AWS certification on an associate level is a plus. • You have architected distributed systems with infrastructure automation, monitoring and alerting and you are familiar with troubleshooting distributed systems. • You have a focus on high-quality code, including automated testing and coding best practices and you are able to prepare and conduct code reviews. • You have experience with relational and non-relational DB technologies. Knowledge of other search, messaging and queuing technologies such as ElasticSearch, SOLR, RabbitMQ and Kafka are desirable. • You are a quick learner and your analytical skills help you to effectively translate technical and scientific process requirements into a software product. • You have strong experience in the use of a high-level, object oriented programming language such as Python, Go or Java and a strong understanding of Linux/Unix. • You are comfortable working both independently and collaboratively, and with handling several concurrent, fast-paced projects. • You are able to execute technical projects at global scale, across multiple teams and time zones. Strategic, analytical mindset and ability to innovate using technology to advance business goals. • Experience in managing data according to FAIR principles as well as tracking data lineage, ensuring data quality and improving data discovery is a plus. • You have strong communication skills and can untangle and discuss complex technical tasks. • Prior experience in a life science or drug development environment are beneficial. What to expect from us • A highly collaborative and dynamic research environment where we aim to advance the rate of scientific discovery using purposefully built solutions. • Access to large data sets, samples and compute resources. • Access to state-of-the-art technologies and pioneering research. • Participation in seminar series featuring academic and industry scientists. • Campus-like lifestyle with a healthy work-life balance. • Mentored opportunities to further develop professional skills. Who we are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. We are a research-driven biotechnology company, whose medical innovations for cancer and other serious illnesses make a difference for patients across the globe. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page

Who Are We? Our company is based on the science of our founder, Stanley Qi, one of the original CRISPR co-inventors who then furthered the technology so that DNA does not need to be cut to accomplish gene regulation. Instead, we regulate the epigenome to suppress and activate multiple genes simultaneously. We are further evolving the platform and leveraging its strengths to address unmet medical... needs. We are looking for exceptional team members who want an active role in building a rapidly growing biotech. Roles and responsibilities: • Integrate with LIMS to automate and scale our laboratory's operations. • Work with third-party vendors to build and maintain relationships. • Interface with wet lab scientists to build required pipelines and implement changes that will improve the system's overall efficiency. • Write and review bioinformatics pipelines. • Make design decisions, think about tradeoffs and propose technical solutions. • Establish the best Engineering practices and drive improvements in design, development and operations. • Mentor and guide junior engineers on design, coding, troubleshooting and operational excellence. • Make design decisions, think about tradeoffs and propose technical solutions. Qualifications: • Bachelor's degree or equivalent experience in computer science, electrical engineering, bioinformatics, or a similar technical field. • 5+ years of work experience designing, developing, testing, and maintaining software. • 1+ years of experience as a mentor, tech lead OR leading an engineering team • Experience in integrations of internal and third-party applications. • Experience in the transfer of bioinformatics workflows from manual into high-throughput systems • 3+ years of programming experience in Python. • Experience with software engineering best practices: code quality, testing, performance optimization, development of research tools infrastructure. • Good engineering techniques and best practices (i.e. design control, FMEA, risk analysis, stress testing). • Experience working with a broad set of instruments and data: NGS, plate readers, imagers, flow cytometers, FACS, qPCR, and so on. • Experience creating and managing infrastructure in a Cloud Provider; for example Amazon Web Services, Google Cloud Provider, or Microsoft Azure. Epic Bio is an early-stage biotechnology company developing a novel technology platform that can provide safe and persistent control of targeted gene regulation. Our proprietary platform represents an entirely new class of therapeutics that can be leveraged to treat severe disease across numerous therapeutic areas, including complex diseases impacted by multiple genes. Epic Bio provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

At Alector, our mission is to develop therapies that empower the immune system to combat neurodegeneration and cancer. Our team is solely focused on developing treatments for some of the most challenging diseases facing our society. We are supported in this mission by experienced and accomplished scientists and clinicians, leading healthcare investors, and pharma company partners who share in our... commitment to bettering the lives of patients. As a Scientist for the Bioinformatic’s team, you will play an important role in every aspect of Alector scientific mission, from target discovery to pre-clinical and clinical phases. You will work closely with and under the mentorship of our senior scientists to discover and develop novel drugs targeting neurodegenerative disorders and cancer. As part of a talented and multi-disciplinary bioinformatics team you have a transversal role and interact closely with scientists from different fields. You will carry out valuable analyses which will further Alector’s collective scientific understanding. #LI-RS1 Alector is a phenomenal place to learn and grow. Alector is a dynamic environment where teams are encouraged to experiment, take ownership of decisions, and question convention to solve complex problems. At Alector, we value shared wins, perseverance, and a growth mindset. Alector was named on Fortune’s "Best Workplaces in Biopharma" top list for small and medium-sized companies for the second year! And we moved up from #16 to #11 in 2022. Among the things you'll discover at Alector on Day 1 and throughout your tenure: Committed and driven colleagues, a bold and important company goal, brand-new brightly lit offices in Oyster Point, right at the heart of Biotech Bay. Alector offers flexible remote work options, and competitive compensation and benefits. Come join us! At Alector, we believe that hard-working teams include people from a wide variety of backgrounds and experiences who can challenge each other’s assumptions with fresh perspectives and bring creative ideas to the table. We are committed to building an open, diverse, and inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristics protected under applicable federal, state, or local laws. Employees of Alector working on-site are required to be vaccinated against COVID-19, and are required to provide proof of vaccination. Employees may be entitled to an exception or reasonable accommodation if they cannot be vaccinated because of a disability/medical necessity, or sincerely held religious belief. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation

BIOINFORMATICS ENGINEER BAY AREA OR REMOTE... $95,000-$105,000 THE COMPANY This global biotech leader is searching for a Bioinformatics Engineer to join its team. This will be an entry-level role working closely with their computational team. They work on the development of kits, reagents, and instruments to develop tools to accelerate discovery efforts. Role & Responsibilities: • Building cloud infrastructure for bioinformatics scientists • Build internal web apps for scientists • Work closely with R&D, sales, and technical support teams Skills: • Bachelors or Masters with 1-2 years industry experience or PhD with no industry experience in Computer Science, Bioinformatics, or other quantitative related fields • Python or Java • Cloud experience with a preference for AWS • Docker or CI/CD experience • Web app development experience Benefits: $95,000-$105,000 Bonus Remote potential Please apply and send your CV

The Opportunity The Chan Zuckerberg Biohub is currently seeking an outstanding Data Scientist to join the Quantitative Cell Science arm of the Data Sciences team. The successful applicant will work in collaboration with the Mass Spectrometry (MS) platform at CZ Biohub to build the next generation of multi-ome cell atlases. As part of the Data Sciences platform at the Biohub, our team builds... tools and datasets that advance our understanding of health and disease. We are passionate about extracting meaningful information from whole organism cell atlases and inventing ways of interpreting, visualizing and sharing the data we generate. We are actively involved in single cell whole organism cell atlas construction, of note Tabula Sapiens, where we are leveraging conventional single-cell transcriptomics, histology, spatial transcriptomics, mass spectrometry and machine learning to advance the understanding of human biology. In line with the CZ Biohub mission, we are committed to open science and freely sharing data and code with the community. The new team member will be in charge of performing MS data analyses for proteomics, metabolomics, and/or lipidomics experiments acquired with data-dependent (DDA) and -independent (DIA) workflows. Our goals include improving upon existing raw MS data analysis algorithms and pipelines; organizing data; engineering data pipelines to leverage common data formats, e.g. h5ad files; and to develop and implement analysis methods of processed MS data for project-specific needs. These implementations will dovetail with ongoing computational research underway at the CZ Biohub such as clustering and unsupervised learning, time series analysis and pathway analysis. The ideal candidate will be passionate about data integration for multimodal analysis with other data formats e.g. genomics and imaging, and be excited to work at the interface between mass spectrometry bench scientists and data scientists. This is an exciting opportunity to be embedded in a highly collaborative environment that promotes learning and skill development. For this position we are looking for a team player with a balance of strong technical skills, creativity, and excellent communication skills. You will • Perform mass spectrometry data analysis for proteomics, metabolomics, and/or lipidomics experiments • Organize and engineer data pipelines for processing raw mass spectrometry experimental output • Implement pre-existing and develop novel analysis methods for post-processed mass spectrometry data, using methods including (but not limited to) unrestricted modification search, analysis of four-dimensional mass spectrometry data collected with timsTOF instruments, spectrum library utilization, and feature matching between data independent analysis (DIA) experiments. • Be the contact point between the data sciences and the mass spectrometry platforms • Clear and constant communication between multiple teams You have Essential – • PhD or 3-5 years equivalent work experience in a quantitative, computational discipline such as computational biology, bioinformatics, statistics, applied mathematics, computer science, physics, engineering, etc. • Experience with mass spectrometry data, e.g. proteomics, lipidomics, metabolomics • Experience and familiarity with scientific programming languages and data science workflows (e.g. Python, numpy, scikit-learn, pandas, matplotlib, Jupyter notebook, etc.) • Experience with statistical inference and time series analysis • Strong communication skills and collaborative spirit • Detail oriented with the ability to understand a system of complex interactions and explain it to technical and non-technical collaborators • Capable of deep troubleshooting to discover the root causes of problems • Experience with Git, or other version control workflows • Comfortable in UNIX systems and working at the command line • Commitment to writing well-commented code and clear documentation • Positive attitude, willingness to ask questions and learn independently Feel free to apply even if not all qualifications are met, we are interested in candidates with strong technical qualifications even if not all the boxes are checked! Nice to have - • Understanding of cell biology and next-generation sequencing • experience with genomics data analysis and/or imaging data • experience working with data generated by timsTOF and Thermo orbitrap mass spectrometers • some bench experience with mass spectrometry and/or wet lab biology • Experience with machine learning techniques and data engineering • Understanding of real-time, data-dependent instrument control and algorithms • Willingness to help and mentor team members with different levels of expertise Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date

The Position Bioinformatics Cloud Software Engineer... Genentech seeks a talented and highly motivated Software Engineer to develop a cloud based genomic analysis system in support of our Translational Genomics efforts. Our Translational Genomics efforts span the interface of human genetics, functional genomics, molecular biology, disease model engineering, tissue and cellular profiling, and advanced computational methodology. The primary focus of this position is to extend our existing orchestration system for large scale genomic analysis workflows into the cloud to enable Genentech researchers to scale the throughput of their genomic and genetic analyses as needed. Solutions will need to integrate cloud native concepts with microservice based components in an existing software ecosystem. A successful candidate will collaborate with interdisciplinary teams of Software Engineers, DevOps engineers and Computational Biology Scientists to design and implement cloud native software solutions with an emphasis on service-oriented architecture and containerized workflows. The work includes requirements gathering, design and architecture, as well as backend and frontend development. The candidate will use best practices of continuous integration and software delivery to accommodate the fast pace of innovation in Genentech Research. Successful candidates will meet many of the following requirements: • You have a Masters degree or equivalent in Software Engineering, Computer Science, Bioinformatics, or similar and 6-10 years of relevant experience in an academic or commercial setting. • You have successfully planned and implemented multiple software projects throughout the whole development cycle (planning, implementation, testing, release, maintenance) following modern software development practices. • You are a full-stack software developer (backend+frontend) that if needed maintains its own dev-ops tool chain, but plays well with enterprise level solutions. • You are able to break down large problems into smaller microservice based components and can develop them independently or as part of a large team. • You have experience with cloud related concepts such as deployment via Kubernetes or AWS cloud formation, Monitoring and containerization. • Experiences and expertise with cloud related concepts such as building infrastructure using Terraform, AWS Cloud Formation, AWS Batch, Lambda and Code Pipeline is a must - an AWS certification on an associate level is a plus. • You have architected distributed systems with infrastructure automation, monitoring and alerting and you are familiar with troubleshooting distributed systems. • You have a focus on high-quality code, including automated testing and coding best practices and you are able to prepare and conduct code reviews. • You have experience with relational and non-relational DB technologies. Knowledge of other search, messaging and queuing technologies such as ElasticSearch, SOLR, RabbitMQ and Kafka are desirable. • You are a quick learner and your analytical skills help you to effectively translate technical and scientific process requirements into a software product. • You have strong experience in the use of a high-level, object oriented programming language such as Python, Go or Java and a strong understanding of Linux/Unix. • You are comfortable working both independently and collaboratively, and with handling several concurrent, fast-paced projects. • You are able to execute technical projects at global scale, across multiple teams and time zones. Strategic, analytical mindset and ability to innovate using technology to advance business goals. • Experience in managing data according to FAIR principles as well as tracking data lineage, ensuring data quality and improving data discovery is a plus. • You have strong communication skills and can untangle and discuss complex technical tasks. • Prior experience in a life science or drug development environment are beneficial. What to expect from us • A highly collaborative and dynamic research environment where we aim to advance the rate of scientific discovery using purposefully built solutions. • Access to large data sets, samples and compute resources. • Access to state-of-the-art technologies and pioneering research. • Participation in seminar series featuring academic and industry scientists. • Campus-like lifestyle with a healthy work-life balance. • Mentored opportunities to further develop professional skills. Relocation benefits are available for this job posting. #bioinformatics #gREDinformatics Who we are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. We are a research-driven biotechnology company, whose medical innovations for cancer and other serious illnesses make a difference for patients across the globe. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation

Career Category Clinical Job Description HOW MIGHT YOU DEFY IMAGINATION... You’ve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you’ve worked hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role. Scientist - Proteomics, Bioinformatics, Computational Biology Live What you will do The Discovery Proteomics group at our South San Francisco campus is tasked with developing and implementing proteomic characterization technologies in support of Amgen’s early discovery pipeline Let’s do this. Let’s change the world. In this vital role you will you will conduct statistical analysis, data ingestion, and computational pipeline development for internal and external mass spectrometry-based and other type of proteomics data to support biomarker discovery, target validation, experimental design, and mechanism‐of‐action studies. You will work closely with other lab-based scientists in the Discovery Proteomics group, genomics, and software engineers in the Research Informatics team to support multi-omics data integration. Demonstrated expertise in modern data analysis and statistical Specific responsibilities include but are not limited to: • Enable Amgen’s preclinical pipeline through delivery of innovative technologies and technical expertise • Implementation of data analysis, management, and visualization • strategies for the complex proteomics and posttranslational data generated by mass spectrometry and other technologies. • Develop and establish computational solutions for differential protein expression analysis, protein turnover rate estimation, and protein-protein interaction identification. • Work across genomic and proteomic platforms, and potentially other ‘omic’ platforms, for data integration and mining, applying available external resources where appropriate. Win What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated computational biologist/bioinformatics professional we seek is a scientist with expertise in mass spectrometry-based proteomics with these qualifications. Basic Qualifications: Doctorate degree Computational Biology, Bioinformatics, Statistics, Proteomics, Biology OR Master’s degree and 4 years of scientific experience OR Bachelor’s degree and 6 years of relevant experience Preferred Qualifications: Expertise in large-scale quantitative proteomics and other omics data analysis. • Laboratory experience in proteomic workflows, sample preparation or related techniques. • Proficiency in Python/R/SQL/Java and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data visualization, and machining learning. • Good practice in coding project management and reproducible data analysis. • Solid understanding in the Unix/Linux and cloud computing (AWS) environment. • Experiences in analyzing large scale protein interactions, protein turnover, and/or posttranslational modification studies. • Knowledge of proteomics data processing pipeline such as Proteome Discoverer, Spectronaunt, Skyline, MaxQuant, DIANN, MSstats, or OpenMS. • Strong background in biology or chemistry, especially as it pertains to human disease in the fields of Immunology, Oncology, Inflammation, and Cardiometabolic Disease. • Basic understanding in genomics and transcriptomics technologies and data properties. Thrive Some of the vast rewards of working here As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. • Full support and career-development resources to expand your skills, enhance your expertise, and improve your potential along your career journey • A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act • Generous Total Rewards Plan—comprising health, finance and wealth, work/life balance, and career benefits—with compensation and benefits rated above 4 stars (out of 5) on Glassdoor Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen requires all staff in the United States and Puerto Rico to be vaccinated from COVID 19 as a condition of employment. In accordance with applicable law, Amgen will provide reasonable accommodations to staff members who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Amgen, its operations, or its staff. Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance

Invitae is a biotechnology company focused on providing tools and services for clinical research applications of genomics. Our mission is to unlock the power of precision medicine in improving patient care by providing a technology platform to advance genomics and facilitate collaborative research. Invitae is seeking Bioinformaticians to join our team. This role will be centered around... developing tools and pipelines that facilitate smooth business operations around multiple projects. The Bioinformatics Scientist will help develop systems for the efficient management of clinical and non-clinical data and be an interface to internal and external stakeholders. You will be responsible for scaling our pipelines as we work toward our goal of providing low-cost genetic answers to billions of people. The Bioinformatics Scientist must be skilled in programming and be able to solve common and complex bioinformatics problems. The ideal candidate should be able to perceive a problem clearly and dissect it into components which can be resolved programmatically. This role will be centered around creating tools, algorithms, and pipelines to complement new assay/product development. Having a fundamental grasp of genomics will be key to succeeding in this role. The candidate should be independent, well organized and collaborative with clear communication skills. In addition, the ability to frequently switch between tasks will be helpful. The Bioinformatics Scientist will report to the Head of Bioinformatics. Responsibilities: • Build scripts, tools, and algorithms to advance assay/new product development • Build Bioinformatic workflows/pipelines using Nextflow in a system agnostic manner • Participate in support activities when needed for operational excellence • Develop standard methodologies for analysis of NGS data including optimization of parameters, and consensus approaches across various tools • Work closely with the other staff to identify gaps in variant detection and annotation algorithms in current pipeline • Review, understand, and stay in compliance with Invitae HIPAA Security policies and procedures Qualifications: • MS/PhD in Bioinformatics or Computational Biology • 3+ years experience Proficient in R/Python, • nix, and SQL for data analysis • Working knowledge of standard bioinformatic tools used in NGS pipelines • Proficiency in Genomics and Molecular Biology • Solid understanding of Illumina sequencing technologies and metrics • Formal software development experience Bonus points for any experience with: • Formal statistics background • Understanding of Cloud Computing • Shared High-Performance Computing (HPC) environments e.g. S/UGE, LSF • Distributed Workflow managers, e.g. nextflow, luigi, COSMOS • Using and designing RESTful and RPC-style interfaces • Docker or other containerization/virtualization • CI/CD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance

Job description for Genomics Data Scientist at Pt Blocksphere Teknoniaga Indonesia Job Desc: Create tools, including developing, prototyping, and validating new features for genome analysis to enable better diagnostics andclinical management. Develop tools and algorithm for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants Developing, prototyping, and validating new features for genome analysis Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities Qualification: Ideally a master or PhD in a strongly quantitative discipline such as (e.g. data science, computer science, or maths) with experience as data scientist working on bioinformatics, or equivalent experience, in one of the following: genetics/genomic with a strong computational component, statistical genetics, genetic epidemiology, bioinformatics with the focus on... human genomics. Experience with NGS data analysis from sequencing QC to annotation and variant calling. Able to write in R, Python and Perl Statistical background in multivariate analysis is a plus Jenis Pekerjaan: Penuh Waktu

Nusantics is now hiring Head of Bioinformatics in Jakarta, Apply a combination of theoretical and applied knowledge to lead a team of Bioinformaticians in exploratory projects for the development of omics bioinformatics pipeline Provide high quality analysis and expert advice and judgements to the team by applying extensive experience and deep knowledge of Bioinformatics concepts, methods, and tools. Initiate and implement new ideas or new changes to current bioinformatics pipelines, systems, or tools. Support the innovation, science and technology required to deliver the Biome Index strategy. Create, develop, and improve automated genomic data analysis pipelines and the supporting infrastructure to operate at a large scale. Investigate and utilize third-party software tools and writing novel software to solve problems and implement new product features. Creative solutions for common bioinformatics problems to ensure better software and service. Participate in collaborative projects... with a growing number of academic and commercial partners. Develop, maintain, and optimize workflows for NGS datasets. Collaborating with the CTO in the definition of the business strategy. Master or PhD in Bioinformatics or equivalent experience in a bioinformatics setting. Having more than 6 years of industrial and institutional research experience in WGS, GWAS, Omics data (metagenomics, metatranscriptomics), genome assembly construction, transcriptome/exome data analysis. Experience with Cloud computing (AWS, Google Cloud), Linux/UNIX, Python, PERL, R/Bioconductor packages and scripting. Specialties in microbiome, next generation sequencing, computational biology, computational genomics, statistical analysis, data visualization. Experience in comparative genomics, multi-omics analyses and data integration. Experience working with a variety of NGS data formats and NGS data manipulation tools. Comfortable with SQL databases and topics such as bulk data entry, query optimization, schema design and ORMs. Ability to contribute and provide guidance during all phases of the software development lifecycle. Deep understanding in scientific theory and its execution, with open minded personality. Self-motivated, results-driven, and problem-solver. Enthusiastic, hardworking, well-organized and able to prioritize. Able to work with others, and willing to contribute to team. Attention to detail and an inquisitive nature. Knowledge of variant calling and annotation tools. Application of statistical methods to data analysis. Broad knowledge of related bioinformatics resources and databases Experience of working in an agile development environment. Experience in human variation analysis or an area with specific application to variant interpretation. Versatile with software development and genomic data analysis. Good problem-solving ability while ensuring timely completion all project deadlines while developing efficient and faster techniques for data analysis