*AVAILABLE POSTDOCTORAL POSITION(S) IN MALARIA* * UNIVERSITY OF MARYLAND, SCHOOL OF MEDICINE,* *INSTITUTE FOR GENOME SCIENCES* The parasitic infectious disease group of Dr. Joana C Silva, Professor at the Institute for Genome Sciences (IGS, http://www.igs.umaryland.edu) seeks applicants for one (possibly two) postdoctoral scholar positions. IGS at the University of Maryland, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS on the genomics field has been substantial, with more than 2000 publications during the past 26 years, which have been cited more than 300,000 times, making IGS one of the most productive institutions in the region. Qualified candidates will be enthusiastic, highly motivated and interested in studying the evolution of malaria parasites, with emphasis on/Plasmodium falciparum/, and/or host-parasite interactions. Available research topics for this position are varied and include 1) parasite genetic variation and its impact on vaccine escape; 2) evolutionary (distant past) or historical (recent past)/P. falciparum/demography; 3) host immune responses to parasite co-infection. This interdisciplinary position benefits from our close interactions with colleagues from the Malaria Research Program (https://www.medschool.umaryland.edu/malaria/) and the Center for Vaccine Development and Global Health (https://www.medschool.umaryland.edu/CVD/), with state-of-the-art programs and resources in malaria, immunology and vaccinology research. This position offers opportunities to address important questions in the malaria, with first access to large novel data sets from various genomic platforms. We have a strong preference for computational biologists/statistician with a deep appreciation of biological phenomena or equally, microbiologists/immunologists with a solid background in computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets such as genome sequences, bulk RNA-seq, single-cell RNA-seq, cell surface marker information, T/B cell receptor sequences and HLA genotypes to characterize parasite evolution and host-parasite interactions. The successful candidate will benefit from a community of interactive research labs, bioinformatics experts and a variety of sequencing, and computational resources available in a world-class institute dedicated to genomic, basic, and translational research to improve human health in IGS at the University of Maryland, School of Medicine. To apply, please send a CV, a statement of research interests (2 pages maximum), and contact information for three references to:IGS-jobs@igs.umaryland.edu Additional inquiries about the position can be sent to Dr. Joana Silva (jcsilva@igs.umaryland.edu). Consideration of candidates will begin upon receipt of applications and will continue until the position is filled. Qualified candidates will be enthusiastic, highly motivated and interested in studying the evolution of malaria parasites, with emphasis on/Plasmodium falciparum/, and/or host-parasite interactions. Available research topics for this position are varied and include 1) parasite genetic variation and its impact on vaccine escape; 2) evolutionary (distant past) or historical (recent past)/P. falciparum/demography; 3) host immune responses to parasite co-infection. The position has strong computational and statistical components and can involve wet-lab components, either directly or through collaborations with researchers generating immunological or genomics data./The ideal applicant is expected to:/ • possess strong programming skills in at least one of the following languages: Python, R, or C/C and proficiency in use of Linux/Unix command-line system • possess a working knowledge on genomic sciences and sequencing biotechnologies • lead or participate in projects, or participate in designs, develop, execute, and implement scientific experiments, adopt novel technologies to sample processing or analysis, produce and visualize data for presentation at scientific meetings and for publications • lead or participate in writing research and review papers, and to contribute the peer-review process and grant writing • have strong and effective inter-personal and communication skills and ability to work effectively both as a part of the group and individually • hold a doctoral degree in Computer Science, Mathematics, Statistics, Physics, Engineer, Genetics, Biology, Microbiology, Bioinformatics, Computational Biology, or a related field. • PI highly values individuals with passion in taking on new challenges and strong will to learn. Recent graduates re also encouraged to apply. UMB is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. For assistance related to employment, please contact the Staffing department atHRJobs@umaryland.edu. If you anticipate needing a reasonable accommodation for a disability under the Americans with Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contactHRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address. **Job:** **Postdoctoral Fellows* **Organization:** **School of Medicine - Centers/Programs/ORCs* **Title:** *Postdoctoral Fellow* **Location:** *null* **Requisition ID:** *220001MC*