Scientist II, Systems Biology

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda''s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionAbout the role:The Systems Biology Scientist II will be part of a team focused on bioinformatics and computational biology support of translational pre-clinical data analysis in neuroscience therapeutic area.The scientist will apply expertise in bioinformatics, genomics and computational biology to integrate and analyze publicly available and proprietary molecular profiling 'omics datasets and phenotypic data to support Takeda translational preclinical projects.Generate data insights to drive neuroscience projects, interface with research teams and support the data analysis and interpretation needs of neuroscience projectsDrive collaborations with internal groups, external partners, including CROs and academia for data analysis and machine learning.Join Takeda as a Scientist II in our Systems Biology team, based in Cambridge, MA.How you will contribute:ACCOUNTABILITIESPerforms advanced analysis of DNA-seq, RNA-seq, ChIP-seq and other sequencing data in combination with publicly available genomics data to extract novel and biologically meaningful information.Apply various computational biology methods for translational research, including systems biology, pathway/network analysis, machine learning, GWAS, TWAS, PGS, etc.Method development for translational research, e.g. predictive modeling for patient stratification and disease indication tegrates genetics, transcriptomics, epigenetics, proteomics and literature data to strengthen understanding of diseases and treatment perturbations. Utilizes multiple approaches for analyses of genetic variation, pathways and terpret preclinical datasets using appropriate statistical methods.Create visualizations, interpret high dimensional data and explain results to cross-functional teams.Apply machine learning algorithms to large-scale datasetsSchedule and execute tasks to meet deadlines.Maintain and share code.Writes study reports and presents data effectively in all settings and with participants of all levels of the organization.DIMENSIONS AND ASPECTS Demonstrates in-depth knowledge of currently assigned research methodsUnderstands the basics of oligonucleotide synthesisDemonstrates basic knowledge of science/technology outside specific disciplineRecognizes problems and considers the significance of irregularitiesTechnical/Functional (Line) Expertise Solid background in genetics and genomics with an understanding of neurodevelopmental and/or neurodegerative disorders, and ability to interpret genetic and genomics findings in disease context.Solid hands on experience with GWAS/PheWAS/eQTL/pQTL analyses, WES/WGS sequencing data analyses, and rare variants analyses required.Experience in using pathway-based approaches, multivariate analyses, polygenic risk score analyses, machine learningHands on experience in using public human databasesBe expert in sequencing data analysis such as RNAseq, DNAseq, scRNA-seq, etc.Keeps current with emerging trends in bioinformatics and computational biology. Independently keep abreast of current literature in computational biology for drug discovery and development.Solid knowledge of Unix, command lines interfaces, and fluency in common scripting and/or programming language (e.g. R, Python, Perl, Java, C/C++) used for bioinformatics analysis.Familiarity with parallel computing, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e. AWS). Familiarity with popular public domain data sources and programmatic interfacesExcellent problem solving, communication, presentation, and interpersonal skills; able to provide input on timelines and resource needs as indicatedIndependent, self-starting and supportive of team-based research and able to work effectively in a matrix organizationBackground in/experience with Neuroscience is a plusMinimum Requirements/Qualifications:PhD in bioinformatics, computational biology, or a related field with 2+ years of postdoctoral or industry experience, orMS with 8+ years'' experience, orBS with 10+ years'' experiencePrevious industry experience, preferably with big pharmaceutical companies and on clinical programs.What Takeda can offer you:Comprehensive Healthcare: Medical, Dental, and VisionFinancial Planning & Stability: 401(k) with company match and Annual Retirement Contribution PlanHealth & Wellness programs including onsite flu shots and health screeningsGenerous time off for vacation and the option to purchase additional vacation daysCommunity Outreach Programs and company match of charitable contributionsFamily Planning SupportFlexible Work PathsTuition reimbursementMore about us:At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.EEO StatementTakeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Created: 2025-11-15