Bioinformatics Scientist - II (Associate)

Our client, one of the largest pharmaceutical companies in USA looking for Bioinformatics Scientist - II (Associate) to work ONSITE at Cambridge, MA. **Job Title:** Bioinformatics Scientist III **Duration:** 23 Month **Location:** Onsite role - Cambridge, MA 02141 **Pay range:** $70 - $77 per hr **IMPORTANT NOTES/MUST HAVES:** + **We would like to have someone with at least five years of experience after PHD.** **_(less than 5 years submit to this req)_** + **Looking for multi omics experience.** + **Looking for both bulk and single cell experience.** + **Some spatial transcriptomics would be nice.** + **So Olink, some proteomics experience and genotype data experience.** + **Working on the External datasets.** + **Nonlocal is Ok as long as they are able to relocate at the own expense.** + **Please add publication on the resume.** **Need to have:** + **Looking at external data sets and bring the data sets together and cleaning the data up** + **Need to have the fundamental understanding of the data sets** + **Drawing conclusion of the data sets** + **Data integration** + **Be able to document their work and be able to show how they did their work** **Key Skills:** + **Required expertise with multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq.** + **Transcriptomics analysis.** + **Proficiency in R and Bash.** + **High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).** Qualifications: **Required Qualifications:** + Ph.D. in Computational Biology or a related field. + A proven track record of over 5 years in multi-omics analysis. + Fundamental understanding of statistical methods and multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq, genotype, spatial transcriptomics, OLINK). + Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses. + Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets). + A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities. + Excellent written and verbal communication skills. **Preferred Qualifications:** + Experience in processing and analyzing real-world data. + Familiarity with spatial transcriptomics analysis. + Knowledge of statistical and population genetics principles If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! **About ManpowerGroup, Parent Company of:** **Manpower, Experis, Talent Solutions, and Jefferson Wells** _ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _-_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.