Matthew Deitz Email & Phone Number
@sema4.com
2 phones found area 704
LinkedIn matched
Who is Matthew Deitz? Overview
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Matthew Deitz is listed as Bioinformatics Database Engineer at Sema4, a with 162 employees, based in Norwalk, Connecticut, United States. AeroLeads shows a work email signal at sema4.com, phone signal with area code 704, and a matched LinkedIn profile for Matthew Deitz.
Matthew Deitz previously worked as Bioinformatics Database Engineer at Genedx and Bioinformatics Specialist at Santa Cruz Biotechnology (Scbt). Matthew Deitz holds Master Of Science - Ms, Bioinformatics from University Of North Carolina At Charlotte.
Email format at Sema4
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AeroLeads found 1 current-domain work email signal for Matthew Deitz. Compare company email patterns before reaching out.
About Matthew Deitz
Matthew Deitz is a Bioinformatics Database Engineer at Sema4. He possess expertise in bioinformatics, structural bioinformatics, genomics, genome sequencing, biophysics and 19 more skills.
Listed skills include Bioinformatics, Structural Bioinformatics, Genomics, Genome Sequencing, and 20 others.
Matthew Deitz's current company
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Matthew Deitz work experience
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Bioinformatics Database Engineer
I created and developed code in Python and Java to extract clinically relevant information from structured data and unstructured notes. I wrote code using R to evaluate accuracy, precision, and recall of results generated by the pipeline. I frequently tested and implemented new Machine Learning or Natural Language Processing algorithms. I design and create databases in MySQL and AWS Redshift to represent and store the data. Collaboration with multiple teams and organizations on project objectives, status, and performance is important and necessary. I document and track changes of releases with Confluence, Jira, and Git. I lead team meetings with emphasis on code review, weekly sprint goals, and project status updates
Bioinformatics Specialist
At Santa Cruz Biotechnology I regularly maintain relational databases with NGS data. I am responsible for storage of all the fasta nucleotide and protein files. All relevant gene information is kept with the most updated NCBI accession version. I have also created many different programs in Python to analyze this NGS data and products the company produces. One program looks at the protein antibody sequences for cross species reactivity with a BLAST search. Another Python program I use to create new siRNA products as well as primers. It is able to look at the nucleotide fasta sequences and identify using multiple algorithms the most optimal locations to create our products at. The program is also able to look at custom fasta sequences from our customers to determine if we can create a specialized products unique to their needs. My responsibilities also include working with HDR nucleotide sequences for our Crispr products. With these products I use the track visualization abilities from NCBI to show location and exon specificity to customers.
Big Data Metabolomics Programmer
While working at the North Carolina Research Campus I designed, created, tested, and implemented code for statistical analysis in R and Java. I used R packages for graphic visualization and Qualitative Threshold clustering of known metabolites. These known metabolites were pulled from KEGG, NIST, HMDB, and PubChem and stored in a relational database. After this part of the project was completed I then collaborated with graduate students to match unknown metabolites from LC-MS data to our database with Java.
Teachers Assistant
During my graduate studies at the University of North Carolina Charlotte I was able to come back my second year as a Teacher’s Assistant for the graduate level genomics class. I was responsible for the lab portion of the class to help students analyze different NGS data that they went over in class. In the class they worked with IonTorrent and Illumina NGS data. I helped the students go through various bioinformatics pipelines similar to the differential gene expression project I listed above. Other projects included examining genomic data from fastq files all the way to vcf files.
Research Assistant
While at the University of North Carolina Charlotte I worked on a team project that examined NGS Illumina fastq data from the bacteria Vibrio Vulnificus. One part of the project Involved examining the fastq RNA data. We used Trimmomatic for quality filtering and SAMtools to map the reads to a reference genome. From there we took the BAM files and used R to look at differential gene expression. We specifically used the edgeR and DEseq2 bioconductor packages for analysis. The second part of the project involved looking at the fastq DNA genomic sequences. We tested different pipelines and parameters for contig assembly. From the generated contigs we used InterScanPro 5 annotation in order to assign Gene Ontology terms. We then analyzed the different assemblies to see which pipeline gave us the most complete and relevant GO term annotations.
Chemist
I was responsible for Quality Analysis on the metal powder samples produced form the foundry. We use ICP-OES to determine the chemical composition with LECO machines to determine combustimetrics. We ran the chemical analysis on products according to ISO and ASTM qualifications and certified the chemical components to be shipped through SAP.
Matthew Deitz education
Master Of Science - Ms, Bioinformatics
Bachelor Of Science - Bs, Biophysics
Frequently asked questions about Matthew Deitz
Quick answers generated from the profile data available on this page.
What company does Matthew Deitz work for?
Matthew Deitz works for Sema4.
What is Matthew Deitz's role at Sema4?
Matthew Deitz is listed as Bioinformatics Database Engineer at Sema4.
What is Matthew Deitz's email address?
AeroLeads has found 1 work email signal at @sema4.com for Matthew Deitz at Sema4.
What is Matthew Deitz's phone number?
AeroLeads has found 2 phone signal(s) with area code 704 for Matthew Deitz at Sema4.
Where is Matthew Deitz based?
Matthew Deitz is based in Norwalk, Connecticut, United States while working with Sema4.
What companies has Matthew Deitz worked for?
Matthew Deitz has worked for Sema4, Genedx, Santa Cruz Biotechnology (Scbt), Unc Charlotte, and Oerlikon.
How can I contact Matthew Deitz?
You can use AeroLeads to view verified contact signals for Matthew Deitz at Sema4, including work email, phone, and LinkedIn data when available.
What schools did Matthew Deitz attend?
Matthew Deitz holds Master Of Science - Ms, Bioinformatics from University Of North Carolina At Charlotte.
What skills is Matthew Deitz known for?
Matthew Deitz is listed with skills including Bioinformatics, Structural Bioinformatics, Genomics, Genome Sequencing, Biophysics, Unix, R, and Visual Basic.
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