Bioinformatics Jobs

Hiring Department: Biochemistry and Molecular Genetics Location: Chicago, IL USA... Requisition ID: 1015318 Posting Close Date:1/16/22 About The University Of Illinois Chicago UIC is among the nation’s preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent “Best Colleges” rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has nearly 260,000 alumni, and is one of the largest employers in the city of Chicago. Description: The laboratory of Dr. Jalees Rehman in the Department of Biochemistry and Molecular Genetics at the University of Illinois, College of Medicine (Chicago) has openings for a highly motivated post-doctoral position with research track record in any of the following areas: computational biology, bioinformatics, data science or genomics. The willingness to develop new analytical approaches and experiment with novel concepts is expected. Our laboratory develops novel computational approaches to infer cellular functions in health and disease by analyzing single cell RNA-sequencing, single cell multi-omic and spatial transcriptomic data. Our laboratory consists of a computational team and a wet lab team, working on a broad range of topics such as immunology, inflammation, vascular biology, neurobiology, SARS-CoV-2 infections and stem cell biology. Examples of our recent publications include Jambusaria A, eLife (2020) and Gao S, Genome Research (2021). Computational team members routinely interact and co-publish with wet lab scientists via mutually beneficial collaborations. We provide a strong mentoring environment that helps post-doctoral fellows forge their own career paths at the interface of computational biology and biomedical research questions. Eligible postdocs within the first two years of completing their doctoral degree will be given the opportunity of submitting an NIH K99/R00 award which represents a key path towards independence. Postdoctoral fellows who are not eligible for the K99/R00 award will be provided other mentored career development opportunities for careers in academia or industry. The salary range is $62,000 - $70,000 and commensurate with prior experience Duties & Responsibilities • Developing novel research projects in computational biology under the guidance of the principal investigator • Analyze, interpret, and integrate multi-omic datasets. • Work in close collaboration with wet-lab scientists and develop analysis pipelines • Prepare scientific results for publication in peer-reviewed journals and/or grant applications. • Communicate results at internal and external scientific conferences. • Assist in the training of graduate students. Qualifications: • PhD degree in computational biology, bioinformatics, mathematics, computer science, biostatistics, genomics or a related field. • At least one first authored, original research publication focusing on developing novel analytical approaches in computational biology, bioinformatics or genomics. • Experience with the analysis of RNA-sequencing data • Strong programming skills in R or Python Preferred Qualifications • Experience with the development of novel software packages in R or Python. • Expertise in machine learning / deep learning • Experience with analyzing single cell RNA-sequencing, single cell ATAC-sequencing data or spatial transcriptomics data • Multiple publications (first-authored as well as co-authored) that involve the development or application of computational approaches in genomics To Apply Applicants should email a single pdf file containing a cover letter With Brief Description Of Research Experience And Future Interests, curriculum vitae , and list of three references • Send to jalees@uic.edu The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation

Responsibilities I will be working on migrating BioInformatics Datawarehouse and processes to GCP... Qualifications Masters in Computer Science, Experience working with Python, Bioinformatics Data, Pipelines, and Cloud

Principal Investigator, Simon Knott, PhD is looking for a Postdoctoral Scientist to join the team! The Cedars-Sinai Center for Bioinformatics and Functional Genomics (CBFG) is an integrated, interdisciplinary research group with the common goal of developing end-to-end research workflows for genomic and high-throughput functional analysis of patient samples. The primary goals of the CBFG are to... establish a research nexus that integrates leading-edge developments in computational sciences, next-generation genomics and epigenomics, and to use functional biology to improve our understanding of disease etiology applied to personalized health. The Knott laboratory at Cedars-Sinai Medical Center is searching for a Postdoctoral Scientist with a strong background in tumor biology and the immune microenvironment to lead single cell-based omics studies of immunotherapy clinical trials being carried out at the medical center. The scientist will manage a team of laboratory technicians through the processing of clinical trial biopsies for profiling with single cell RNA and ATAC sequencing as well as other emerging technologies. Additionally, our laboratory analyzes the clinical samples with spatial profiling methods such as Co-Detection by Indexing, which allows us to directly study interactions between neighboring cells within the tumor that may govern the response to therapy. We are currently analyzing trials to study the effects of combination immunotherapies in patients with triple negative and estrogen receptor positive breast cancers. We are also beginning trials in patients with early as well as late stage Her2 positive disease. We expect all analyses of these cutting-edge clinical trials will result in high-profile publications in top-tier scientific journals. To learn more, please visit: Knott Research Lab | Cedars-Sinai. Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with Dr. Knott and other Research Scientists, the Postdoc will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement new research techniques and protocols, analyze and interpret data. #jobs Primary Job Duties and Responsibilities: • May assist in preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • Analyzes, interprets, summarizes and compiles data. • Operates and maintains equipment and instruments. Education: • Doctorate Degree in Cancer Biology, Immunology or a related field, required. Experience and Skillset: • Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. • Experience analyzing murine or human tumor microenvironments with single cell resolution methods. • Molecular biology skills are also required, as this scientist will be responsible for guiding laboratory technicians through specific analytical techniques mentioned. • Ability to interpret high-dimensional data and a willingness to work in a collaborative setting with clinicians, immunologists and computational scientists is essential. • Works independently on research projects designed by a mentor (typically the PI) within area of specialization. • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, and operation and maintenance of specialized equipment. • Knowledge of safety standards and maintenance of specialized equipment. Working Title: Postdoctoral Scientist - Knott Lab - Bioinformatics & Functional Genomics Department: BMS - Bioinfo & Func Genomics Business Entity: Academic / Research Job Category: Academic/Research,Academic/Research Job Specialty: Postdoctoral Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day

At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome – one of... the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines. We are hiring a Bioinformatics Research Scientist for the Probe Bioinformatics Group to join our growing team of world class scientists and engineers. The Probe Bioinformatics team is embedded within the Probe Development group, which is responsible for the identification, validation, and maturation of affinity reagents (probes) that are being used in protein decoding experiments on the Nautilus platform. The incumbent will work hand in hand with internal and external experimentalists from diverse backgrounds and experience levels to develop sound experiments and lead subsequent data curation, storage, and analysis. We are looking for someone who is comfortable interacting with bench scientists as well as fellow-bioinformaticians and software engineers to improve existing data and analytics infrastructure. The successful applicant will also leverage their own ideas and expertise to develop new innovative approaches to propel the development of affinity reagents forward. This position will report to the Probe Bioinformatics team lead and is located in San Carlos, CA, San Diego, CA, or Seattle, WA. A minimum of three days in office, preferred. Responsibilities • Work closely with experimentalists from affinity reagent discovery teams to answer key research questions with the goal of continuously improving processes and success rates • Routinely analyze statistical trends in high-throughput data and perform correlations across experiments to inform direction of research • Provide technical expertise for the design of experiments and the resulting data capture and curation steps to maximize knowledge gained • Develop automated pipelines for the ingestion, curation, and analysis of experimental data • Work collaboratively on shared code bases, contributing personal work following high code quality standards • Contribute to Nautilus’ self-service reporting infrastructure by creating compelling visualizations based on queried data Qualifications • PhD in Bioinformatics or related field with a minimum of 2-4 years of relevant industry experience or a BS/MS and 8-10 years of experience in a related field is required • Demonstrated the ability to employ statistical tools for the analysis of complex data sets to identify trends and correlations • Proficient with Python, Jupyter notebooks, and related analytics packages, such as numpy, pandas, scipy, etc • Good working knowledge of relational databases and SQL • Comfortable working independently with a minimum of supervision as well as being part of a larger team • Excellent interpersonal skills and the ability to effectively communicate complex technical topics to a non-technical audience • Excellent at time management, well organized, and have the proven ability to prioritize your work effectively • Thrive in an environment that requires you to have multiple areas of responsibility and manage these effectively Preferred Skills • Experience with Django (backend) and a frontend frameworks such as Angular or React. • Experience with AWS (VPC, EC2, S3, Athena, RDS, Batch, ECR, Lambda, Step Functions) • Knowledge of machine learning techniques for the identification of patterns in NGS data • Experience with testing frameworks such as pytest or unittest and developing code in a production environment • Familiarity with Mode Analytics Nautilus Team Culture • We are curious go-getters: this is a team of life-long learners who aren’t afraid to tackle the big challenges and we embrace the journey • We are detail oriented: we do great science by working smart & with diligence where we learn from our trials and mistakes • We are easy to work with: we want our workplace to be one where everyone can share their perspective and be treated with respect and kindness #LI-Onsite

Primary Duties and Responsibilities: • Perform data analysis on genomic data... • Extract features of interest from data. • Assist in pipeline development and optimization, algorithms development and validation. • Assist in management of genomic data and annotation resources. • Contribute to presentation of methods, results, conclusions, and recommendations. • Work closely with Research and Development on internal and external projects. Required Skills/Abilities: • Experience with one or more of the following: Python, Perl, and R. • Knowledge in basic biological processes and genomics. • Familiarity with public genomics databases. • Working knowledge of laboratory protocols relevant to sequence analysis. • Excellent verbal and written communication skills. • Ability to multi-task and shift priorities according to company needs in a fast-paced environment. Education and Experience Requirements: • M.S. in statistics, bioinformatics, genomics or computational biology or equivalent experience. Preferred Skills/Abilities: • Experience with NGS and/or high-throughput technologies. • Experience with analysis of sequence variants. • Knowledge in statistics, modeling, and machine learning. Mikey Ryerson Mikey@peoplewithchemistry.com 858-429-6069

The Senior Scientist Bioinformatics operationally delivers client projects for Biomarker and Genomic Medicine (BGM) services. They will demonstrate deep knowledge of scientific principles and concepts related to one or more capabilities and is experienced in industry standards. They will provide support for the BGM strategy and interpretation to other SBUs and clients. Key Accountabilities... • Responsible for the development of analytical pipelines and implementation of data management strategy for omics and/or genetics domains for the client. • Liaise with stakeholders in the client’s human genetics and computational biology group to provide clear guidance on data ingestion needs. • Provide data processing support through standardized pipelines, data transformations to fit pipeline requirements and establish data quality checks where required. • Support defining quality control and analytical requirements where necessary to include specification of data types, formats, and data structure along with the defining of experimental metadata. Skills: • Hands-on experience managing and analyzing large-scale genetic/genomic data and performing data transformations and quality control of data where required • Experience with several specialized data types and analytical pipelines (e.g., GWAS, eQTL, Single Cell and Bulk RNA-Seq), whilst maintaining awareness of additional pipelines outside the specialized modality (e.g., ATAC-Seq, Variant Calling, Pooled CRISPR) to facilitate data integration as needed • Working knowledge of relational and distributed databases (i.e., MySQL, Hadoop, NoSQL) • A good practical knowledge of programming languages to manipulate large datasets (Python, R, Perl) • Experience working in a Unix environment • Skilled in Microsoft Office tools including Excel, PowerPoint, and Word • Strong ability to simultaneously manage several projects consisting of technical and non-technical goals • Strong organizational, problem solving and analytical skills • Professional attitude, self-motivated, client focused work ethic with ability to handle confidential matters and data • Able to work independently and organize own workload • Willingness to work in a matrix environment and to value and promote the importance of teamwork • Strong interpersonal, verbal, and written communication skills • Clear and precise communication in English Knowledge and Experience: • Two or more years’ experience in pharmaceutical industry, CRO or academia desired • Strong knowledge of genomics and preferably drug development. • Experience in genetic analysis, bioinformatics, and computational programming • Experience in preparing data for analysis by others • Knowledge of data standards for exchange of human genetic, phenotypic, and clinical data Education: • Master’s Degree with 5 - 8 years of experience or a doctoral degree with 2 - 5 years of relevant professional working experience (including post-doc), in one of the following subjects: Bioinformatics, Biostatistics, Computer Science, Life Sciences Employment is contingent on disclosure of your COVID-19 vaccination status and, if relevant, proof of vaccination. #LI-REMOTE

The Genomics High-Throughput Facility in the Department of Biological Chemistry anticipates a specialist position available in the areas of genomics, bioinformatics, and systems biology. The candidate will be responsible for development and maintenance of a high throughput sequence data analysis pipeline for use with Illumina next generation sequencing. Responsibilities will include sequence... alignment and analysis of RNA and chromatin immunoprecipitation sequence data from high throughput sequencing experiments. The candidate will work with computer scientists and with biologist clients of the facility. The position requires basic knowledge of molecular and genomics biology. Good understanding of statistics, probabilistic methods, and machine learning is a plus. Basic programming and software engineering skills (for example R, Java, SQL, C/C++, GUIs, or Perl). Evidence of interdisciplinary research and collaboration with computer scientists is highly desirable. Applicants must have earned at least a BS in Computer Science or Molecular Biology or Biochemistry (or a closely related discipline) with an emphasis in Bioinformatics. Salary and appointments are commensurate with training and experience. The initial appointment will be for a year, with extension to further years dependent in part on the availability of extra-mural funding. Qualified candidates should submit curriculum vitae along with the names and contact information of three references to the following recruitment URL: https://recruit.ap.uci.edu/JPF07471 Qualifications Junior Specialist, Step I-II – Appointees to the Junior rank should possess a baccalaureate degree (or equivalent degree) or equivalent research experience. Assistant Specialist, Step I-III – Appointees to the Assistant rank should possess a master’s degree (or equivalent degree), or five years of experience demonstrating expertise in the relevant specialization. Associate Specialist, Step I-IV – Appointees to the Associate rank should possess a master’s degree (or equivalent degree) or five to ten years of experience demonstrating expertise in the relevant specialization. Specialist (Full rank), Step I-IX – Appointees to the Full rank should possess a terminal degree (or equivalent degree) or ten or more years of experience demonstrating expertise in the relevant specialization

Application Deadline: 13 February 2023 Department: BioInformatics... Employment Type: Full Time Location: Remote (United States) Description At Bionano Genomics®, we are committed to unlocking understanding of genome biology to advance the promise of genomics in areas including cancer and human disease, agricultural bioengineering and genome discovery. Our optical genome mapping and analysis tools help researchers see true genome structure to fill in what's missing from sequencing-based data.At Bionano, we are invested in the success of our customers and users around the world, and are dedicated to supporting them with the tools, resources and support they need to achieve their goals and make a real impact on improving quality of life for all. Summary, Primary Duties, Skills And Experience Job Summary:Bionano Genomics is looking for an experienced, innovative Associate Director, Bioinformatics to lead development of analysis methods and high-throughput bioinformatics pipelines for identifying and analyzing structural variants and other tools for interpretation of genomic data. The Associate Director, Bioinformatics will be joining a diverse, collaborative team to further expand our suite of analysis tools. The candidate is expected to have in-depth experience both with contemporary bioinformatics approaches for genomic analysis and software engineering best practices. Primary Duties and Responsibilities: • Lead cross-functional team to develop, implement and validate bioinformatics analysis applications targeted for clinical adoption. • Provide scientific and technical expertise/direction and leadership.Direct and perform data analysis and interpretation. • Participate in defining and improving processes and driving software engineering best practices. • Participate in code walk-throughs and reviews of coded solutions. • Collaborate with other internal technical and computational biology teams. • Produce written documentation of applications, algorithms, validations, SOPs, and other processes. • Communicate results and status to leadership, peers and direct reports. • Performs other related duties as required. Required Skills/Abilities: • Expert knowledge of current bioinformatics analysis methods and resources. • Proficient with software engineering best practices, developing production-level code and using version control tools. • Prior experience managing and developing direct reports. • Strong programming and debugging experience with Python and one or more of the following: Java, R, Perl, C++, Bash. • Excellent verbal and written communication skills. • Experience with NGS and long-read sequencing technologies including structural variant detection and annotation. • Experience with high-performance computing (cluster and/or cloud). • Ability to multi-task and shift priorities in a fast-paced environment. • Demonstrated ability to efficiently organize work assignments and establish priorities. Preferred Skills/Abilities: • Familiarity with bioinformatics workflow managers (e.g., Nextflow, Cromwell). • Experience with analysis of clinical data, including prioritization and identification of disease-driving variants. • Familiarity with cloud computing technologies such as AWS Batch, Amazon EC2, Amazon FSx for Lustre, AWS Parallel Cluster. Education and Experience Requirements: • MS or PhD in bioinformatics, computer science, genomics, statistics or related field. Equivalent industry experience accepted. • 7+ years professional experience in bioinformatics development. • 3+ years leading cross-functional teams of software developers and bioinformatics scientists. Equal Employment Opportunity Employer Bionano Genomics does not accept resumes submitted by agencies. The Human Resources team is the focal point for all recruitment and hiring at the company. Agencies are asked not to contact or forward resumes to our Executive team, Management team, or any current Bionano employee for consideration. Resumes are only accepted from agencies if a signed agreement is in place and therefore Bionano Genomics is not responsible for any fees related to unsolicited resumes.Bionano Genomics is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of any kind. Bionano is committed to the principles of equal opportunity employment for all employees and to providing a work environment free of discrimination and harassment. All employment decisions at Bionano are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Bionano will not tolerate discrimination or harassment based on any of these characteristics and encourages applicants of all ages. Bionano participates in E-Verify

Boundless Bio is a San Diego-based, next generation precision oncology company employing an exciting new area of cancer biology, extrachromosomal DNA (“ecDNA”), to revolutionize the way cancer is treated. As a Principal Scientist, Bioinformatics at Boundless Bio, you will play a significant role in helping us transform exciting ecDNA discoveries into the next revolution of cancer medicines. The... role offers the opportunity to impact the discovery and development of transformational therapies in ecDNA driven cancers with high unmet medical need. The successful candidate will be responsible for supporting early target validation and translational biology groups by providing computational analysis and insights from experimental data. The role requires strong understanding of the generation, analysis, and interpretation of omics data in cancer biology, particularly data from various DNA and RNA NGS methods. Successful candidate will contribute to the design of biologic experiments and lead analysis and interpretation of resulting data to support biologic conclusions surrounding novel drug targets, ecDNA biology, pre-clinical decisions and potential patient enrichment strategies. Duties and Responsibilities: Working in close collaboration with translational biology, pre-clinical scientists and computational biology teams in a highly energized biotech environment, responsibilities include but are not limited to: • Collaborate as a member of cross functional teams planning and executing experimental strategies to drive rational decision making across preclinical drug and translational biology programs • Planning, integration, analysis and interpretation of data originating from a wide range of cellular and molecular profiling platforms, including genomic, transcriptomic, proteomic, and potentially functional assays, as well as mining public databases • Multivariate pattern recognition and mapping between molecular profiles of target effects and biological or disease phenotypes • Develop and apply innovative computational analysis to leverage internal, public and partner datasets and empower data-driven decisions for target prioritization and validation. • Analyze experiments using predictive translational models that can illuminate mechanisms of ecDNA biology and the impact of pharmacologic targets • Accelerate cutting edge predictive computational research in drug discovery utilizing new technologies, model systems and potentially machine learning-AI • Develop data reporting and visualization methods to enable interpretation of complex datasets • Author scientific reports, and present methods, results and conclusions to publishable standard • Contribute to planning and execution of collaborative projects with leading academic and research groups Education/Experience: • PhD in cancer biology, computational biology, or bioinformatics strongly preferred • 6+ years of experience in applying quantitative approaches to solve biological problems in pharma or biotech research environments, with considerable depth of experience in cancer biology and omics data generation and analysis • Significant experience in analysis of DNA NGS inclusive of structural variation and copy number variation; experience with analysis of RNAseq and other large expression datasets. • Strong experience in the inter-disciplinary application of computational analysis methods to life science data • Specific experience in applying bioinformatics approaches to validate drug targets and support lead validation and optimization in small molecule drug discovery teams • Demonstrated ability to integrate heterogeneous data sources and perform multivariate analysis of integrated datasets • Proven expertise in the development and/or implementation of algorithms to distill, analyze and interpret complex datasets • Experience with data display and visualization methods enabling biologists to interrogate results • Experience of computational biology research utilizing and integrating multi-omic approaches in drug discovery & translational research: molecular profiling platforms, CRISPR/shRNA, mRNA, mutational, epigenetic and proteomics profiling • Familiar with various cancer genomics consortium efforts, tools and databases • Expertise in algorithmic implementation, statistical programming and data manipulation, open-source bioinformatics tools and database structures • Proven problem-solving skills, collaborative nature and adaptability across disciplines • Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite • Demonstrated ability to work cross functionally in a highly collaborative matrixed environment. Boundless Bio fosters an inclusive company culture that values diverse talent, backgrounds, and experiences. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, national origin, genetics, disability, age, sexual orientation, veteran status, or any other protected categories

Director of Bioinformatics- Simply Biotech Overview... Are you looking for a new career opportunity with an exciting biotech company?! Then we've got the right team for you! In this role, you're responsible for the duties listed below. Immediate opening for a Director of Bioinformatics, in Carlsbad, CA who possesses: • PhD in bioinformatics, computational biology, or biology or related • 5+ years of bioinformatics experience • Leadership experience • Expertise in bioinformatics, genomics, and proteomics resources • Epigenetic assays experience is a plus Email resumes to aencarnacion@simplybiotech com or call 858.427.3668 FULL DESCRIPTION: Leads, directs and inspires a team of Bioinformaticians conducting the processing of customer data, maintenance and improvement of existing analysis pipelines, and transfer of new analysis pipelines to production The Selected Candidate Will Be Responsible For • Provides both strategic and tactical/technical leadership and expertise in areas of design, analysis and reporting • Accountable for providing end-to-end Bioinformatics services from project conception to data delivery • Responsible for maintaining and improving existing production analysis pipelines and transferring prototype analysis pipelines into production • Responsible for scaling up customer facing training and education program • Supports and mentors the performance and career of a team of Bioinformaticians delivering high-quality results • Manage day-to-day activities of Bioinformaticians responsible for processing customer data based on deadlines • Participates in the development and maintenance of a data analysis and delivery platform for non-clinical / clinical customers • Contributes to departmental strategic and goal-setting plans in order to meet corporate strategic goals • Collaborates and communicates effectively with senior management and other stakeholders or cross-functional teams • Functions independently while understanding the requirements for communication, collaboration and partnerships The Selected Candidate Will Further Possess • PhD. graduate level training in bioinformatics, computational biology, or biology related fields with significant bioinformatics experience preferred • 5+ years' experience (industry or academic) is preferred • Demonstrated leadership and managerial skills directing and motivating a team of bioinformatic scientists • Expert knowledge of current bioinformatics/genomics/proteomics resources and open-source tools • Experience with cloud-based analyses and workflow managers (Nextflow preferred) is a plus • Experience with epigenetic assays is a plus • Experience with cloud-based analyses and workflow managers (Nextflow preferred) is a plus • Experience with epigenetic assays is a plus Salary Range: $125,000-$175,000/yr For immediate and confidential consideration, please email your resume to aencarnacion@simplybiotech com or call 858.427.3668 More information can be found at www.simplybiotech.com