Senior Research Scientist Jersey City, NJ

Reading the code of life, base by base.

Ten years turning noisy biology into clean signal, from single-cell isolation and multicolor FACS to NGS across Illumina, Nanopore & PacBio and an 11,161 bp synthetic viral genome built from scratch.

nanopore_run.pod5  ·  basecalling live  ·  Q20+  ·  SQK-RNA004 translocation → 450 b/s
01 Biography

A scientist since age three.

The story goes that at three years old, Taylor was already interrogating the workings of the universe, and was unimpressed when the answers didn't come. Science fairs were the highlight of every school year (volcanoes, tornado chambers, the works), and A Brief History of Time was leisure reading. Growing up on the Gulf Coast of Florida, that curiosity ran on two tracks: fishing sharpened a fascination with the biology of fish, while playing baseball turned into an obsession with the physics of the game. A fifth-grade teacher predicted a career in shark biology. The species was off; the trajectory wasn't.

That curiosity became a decade of hands-on molecular biology spanning academia, an early-stage biotech startup, and big pharma. Taylor studied Biomedical Sciences at the University of South Florida with a minor in Biomedical Physics, then earned an M.S. at Auburn University's College of Veterinary Medicine, where a pivot from reproductive medicine into cancer biology and precision medicine set the course for everything that followed.

"The through-line of my work is signal extraction: pulling meaningful sequence out of the messiest biological material, then building the method so anyone can do it again."

At Auburn, Taylor developed the first published protocol for isolating melanocytes from canine skin and oral mucosa, a rare-cell problem where the target makes up just 3-5% of skin. Recruited straight out of the thesis defense by the founders of Humane Genomics, Taylor became one of the company's first three employees and built an entire synthetic-virology lab from the bench up: qPCR pipelines, Nanopore sequencing workflows, and viral vectors engineered for precision cancer therapy. Later chapters at Merck and Azenta Life Sciences deepened that method-development rigor across high-throughput, multi-platform sequencing.

GLP/GCP-trained and fluent in translating complex biological problems into actionable research strategy, Taylor now works at the intersection of gene editing, viral vectors, and next-generation sequencing, and is eager to apply that method-development rigor within a cGMP analytical-development environment supporting first-in-human and IND products.

10yrs
Across academia, startup & pharma
11,161bp
Synthetic VSV genome engineered from modular fragments
13+
Mammalian cell lines run in parallel
3×
Sequencing platforms: Illumina · Nanopore · PacBio
02 Career Overview

From founding a lab to scaling pharma pipelines.

A path that runs the full arc of the field. Building bench science from day one at a three-person startup, then carrying that method-development discipline into large-pharma and CRO environments.

2024-2618 months
Scientist I
Azenta Life Sciences
NGS Contract Research Organization
  • Developed, optimized & qualified custom DNA/RNA NGS library-prep workflows across Illumina, Oxford Nanopore & PacBio, spanning CRISPR-validation, targeted-genomics & whole-genome applications.
  • Ran rigorous QC via Qubit, TapeStation & qPCR; troubleshot degraded FFPE inputs to deliver sequenceable libraries on high-volume sample sets.
  • Operated BioMek, Dragonfly & FAST automation for high-throughput pooling; executed whole-genome methylation prep (bisulfite conversion) for epigenomic profiling.
  • Mentored junior scientists and interns on library-prep methods and molecular-biology best practices.
2024Feb-Sept
Scientist II, Associate Contract
Merck (via On-Board)
Rahway, NJ
  • Executed advanced molecular cloning (Gibson Assembly, Golden Gate & site-directed mutagenesis) supporting R&D in genetic engineering & synthetic biology.
  • Performed Nanopore, Ion Torrent & Sanger sequencing for genetic validation, genome assemblies & construct-integrity confirmation.
  • Carried out DNA/RNA extraction, plasmid purification, transformation, electroporation & colony PCR for gene-of-interest investigation.
2021-23~2 years
Research Associate II
Humane Genomics
New York, NY · Synthetic-virology startup
  • Advanced a VSV-vectored COVID-19 vaccine candidate from construct design through in vivo safety studies at the height of the pandemic. Engineered the vaccine by displaying SARS-CoV-2 spike on a VSV backbone, confirmed ACE2-receptor binding by live-cell imaging, scaled production and purification 100-1000x for animal work, and supported a rat safety study (well tolerated, no adverse reactions) plus a pre-IND submission to the FDA.
  • Designed, built & validated engineered viral vectors (AAV, lentivirus, oncolytic VSV) from construct design through functional validation using a full gene-editing toolkit.
  • Scaled upstream production in multi-layer cell factories and purified viral stocks by ultrafiltration / diafiltration (UF/DF) and density-gradient methods; ran ELISA & Western blot for titer, purity and protein-expression QC.
  • Independently built & validated a real-time qPCR assay for viral quantification, directly analogous to VCN, genomic-titer & infectious-titer methods in cell- & gene-therapy QC, plus multicolor FACS & cell-based potency assays for transduction and immune profiling.
2019-21Founding
Research Associate I → Technician Founding
Humane Genomics
New York, NY · Employee #1-3
  • Founding laboratory scientist, one of three people at the company, single-handedly built and operated all bench-side research & QC functions.
  • Contributed Nanopore sequencing & viral-genome assembly for construct verification across iterative design cycles.
  • Authored the foundational SOPs that enabled the company to scale its operations.
2016-20Graduate
Graduate Research Assistant
Auburn University, CVM
Pathobiology · Dr. Bruce Smith & Dr. Tatiana Samoylova
  • Developed novel rare-cell isolation protocols (MACS CD90+ depletion / CD117+ enrichment → FACS) delivering single-cell-sequencing-grade material for precision oncology.
  • Ran a precision-oncology program targeting rare cell populations in blood & tissue; authored a Master's thesis, posters & publications.
  • Supported a companion-animal contraceptive program using Gibson Assembly, site-directed mutagenesis & qPCR.
2015Undergrad
Undergraduate Laboratory Research
University of South Florida
Tampa, FL · Dr. Mary Jones-Mason Lab
  • Studied the effects of aspartame on tumor models using in vitro cell-based assays and in vivo mouse models.
  • Performed gel electrophoresis, PCR & cloning for molecular characterization, the first hands-on bench work of a decade-long trajectory.
03 Selected Projects

Problems solved end-to-end.

Each of these started as a hard "how do we even measure this?" question and ended as a repeatable method. The kind of work that becomes a platform.

Synthetic Virology · Peer-Reviewed

An 11,161 bp synthetic VSV genome, built from four modular fragments

Co-developed a synthetic-biology platform to rapidly engineer Vesicular Stomatitis Virus from the ground up. A full-length genome was assembled from modularized DNA fragments, rescued, and titered, with phenotypic analysis showing no significant difference between natural and synthetic virus. The platform's flexibility was demonstrated by swapping a foreign glycoprotein and rearranging gene order (VSV-P ⇄ VSV-M) to prove design freedom.

Genome architecture · 3' → 5' 11,161 bp · negative-sense ssRNA
le N P M G swappable glycoprotein L tr P ⇆ M reorder
N nucleocapsid P phospho M matrix G glycoprotein (engineered) L polymerase
11,161 bp
full genome assembled
4
modular fragments
100s
engineered virions sequenced
Gibson & Golden Gate Virus rescue Nanopore assembly Viruses 2024, 16(10):1641
Vaccine Development · Pandemic Response

A VSV-vectored COVID-19 vaccine candidate, bench to in vivo in five months

At the height of the pandemic, the team built a SARS-CoV-2 vaccine candidate on the same VSV backbone behind Merck's approved Ebola vaccine, swapping the native glycoprotein for the SARS-CoV-2 spike protein. Designs went from concept to functional virus particles in under a month. Live-cell Incucyte imaging confirmed the vaccine displayed spike on its surface and bound the ACE2 receptor like the natural virus. Taylor scaled production 100-1000x for animal work, and a rat study at Auburn's Scott-Ritchey Research Center showed the candidate was well tolerated with no adverse reactions (CBC & clinical chemistry confirmed). The team wrote and submitted a pre-IND to the FDA before winding the program down once authorized vaccines reached the public.

Program write-ups: Proposal ↗ · Scientific basis ↗ · Lab update ↗ · Final results ↗

Bench → pre-IND timeline · 5 months
Month 0
Spike swapped onto VSV backbone; design start
< Month 1
Functional virus particles rescued
Month 1–2
Incucyte: spike display & ACE2 binding confirmed
Month 2–3
Production scaled 100–1000× for animal work
Month 3–4
Rat study: well tolerated, CBC & chem clear
Month 5
Pre-IND written & submitted to FDA
<1 mo
design to functional virus
5 mo
bench through in vivo safety
Pre-IND
submitted to the FDA
VSV vector Spike / ACE2 binding UF/DF purification In vivo safety
Method Development · Rapid Viral Screening

A viral supernatant to Nanopore pipeline: 24 genomes screened in 24 hours

Built a single end-to-end workflow that takes a candidate virus from harvested supernatant to called sequence in one day. The route runs supernatant harvest → viral RNA isolationcDNA synthesisPCR amplification → library prep on the Oxford Nanopore Rapid Barcoding Kit → sequencing → assembly and analysis. Barcoding let the method multiplex up to 24 viral genomes in a single run, turning what had been a serial, multi-day sequencing task into a parallel screen. The result is a same-day readout that lets a bench scientist confirm construct identity across a whole panel of viral candidates within 24 hours, fast enough to steer the next round of engineering.

Parameter
Conventional route
This pipeline
Turnaround
Multi-day, serial
24 hr, supernatant → sequence
Samples / run
One genome at a time
Up to 24-plex, barcoded
Read type
Short reads, assembly-heavy
Long Nanopore reads, full genome
Workflow
Fragmented, multi-instrument
One unified 7-step route
24-plex
viral genomes per run
24 hr
supernatant to sequence
7 steps
unified single workflow
Viral RNA isolation Rapid Barcoding Kit Multiplexed sequencing Candidate screening
Precision Oncology · M.S. Thesis

Isolating rare normal cells from canine tissue & blood

Built protocols to isolate the normal-cell counterparts of three skin tumors (melanocytes, keratinocytes & mast-cell progenitors) as transcriptomic comparators for precision oncology. Delivered the first published method for canine melanocyte isolation, now independently reproduced by other labs.

MACS + FACS Single-cell seq prep CD117 / CD90
Assay Development · qPCR

Quantifying VSV titer by two-step RT-qPCR

When low RNA yield & purity from viral passaging broke one-step RT-qPCR, Taylor engineered a two-step method that cleanly quantified viral genomes across 10³ to 10¹² genome copies, the titer data that dosed in vivo mouse studies, and the seed of the lab's genome-sequencing workflow.

RT-qPCR Primer design 10³-10¹² range
Oncolytic Therapy · AACR 2023

Retargeted oncolytic VSV with a genetic on-switch for liver cancer

Engineered oncolytic VSV to selectively kill GPC3-positive liver-cancer cells, pairing a retargeted glycoprotein with aptazyme replication switches. Showed infection & lysis at low MOI with no effect in GPC3-negative cells, and 10⁷ PFU doses well tolerated in vivo.

Glypican-3 targeting Aptazyme switch In vivo safety
Method Development · Nanopore

A 2-hour NGS plasmid-sequencing method

Built an indirect viral-sequencing route (RNA → cDNA → dsDNA → Nanopore) to sequence engineered virions base-by-base for QC, then compressed the plasmid workflow all the way down to miniprep-to-analysis in two hours.

cDNA synthesis Galaxy assembly 2 hr turnaround
04 Research & Service Concept
In development · 2025-2026

Multiplexed direct RNA sequencing.

A service concept for scaling native RNA-seq from single-sample pilots to 96-plex cohort studies, sequencing the true RNA strand with zero cDNA or PCR bias, on Oxford Nanopore's SQK-RNA004 chemistry.

Collapsing the cost of native RNA-seq by 99%.

Native RNA sequencing has always traded cost for authenticity: one flow cell, one sample, real modifications preserved. 96-barcode multiplexing changes that math: pool an entire well-plate onto a single PromethION run and the per-sample cost falls from roughly $900 to about $10, without giving up direct-strand sensing.

1-plex
$900
96-plex
$10
≈99% cost reduction / sample
Native RNA strand rendering
Economic Shift High-throughput sequencing

Scalable efficiency

99% cost reduction
From single-flow-cell runs to simultaneous 96-barcode processing on one PromethION.
Maximized throughput
Population-level discovery becomes affordable: cohorts, not just pilots.
Scientific Impact Epitranscriptomic analysis

Direct native sensing

Zero bias results
The true native strand is read directly, with no cDNA or PCR artifacts introduced.
High-resolution biology
Differential splicing, poly(A) tails, and m6A / pseudouridine mapping at cohort scale.
Strategic Value Standardized workflow

Democratized access

Rapid adoption
Seamless 1-plex → 96-plex transition using standardized well-plate workflows.
Full instrument use
Lowers the barrier to high-throughput direct RNA-seq by filling PromethION capacity.

Service specification

// 2025-2026 standard
Chemistry
SQK-RNA004R10.4.1 pores · Q20+
Input requirement
1 µg total RNA20-300 ng low-input protocols
Demultiplexing
SeqTaggerup to 96 barcodes
Hardware
CUDA 11+ GPUhigh-speed SSD I/O
Turnaround
1-4 weeksmarket benchmark
Key output
Epitranscriptomem6A · Ψ · isoforms · poly(A)
$9.31B
Global RNA analysis market, 2025, projected to $23.4B by 2035.
96-plex
Barcodes per run via SeqTagger, at 99% precision and 95% recall.
24% CAGR
Growth in sequencing services & software, outpacing hardware placements.
05 Capabilities

A full-stack bench toolkit.

From nucleic-acid extraction to base-called, aligned, variant-called data, with the assay-development and QC rigor to make each step reproducible.

Genomics & NGS

  • Illumina, Oxford Nanopore & PacBio
  • DNA/RNA library prep, QC & methylation
  • Bisulfite conversion & epigenomics
  • Base-calling, alignment & variant ID
  • Single-cell sequencing pipelines
  • FFPE nucleic-acid extraction & prep

Gene Editing & Vectors

  • CRISPR/Cas9 gene editing
  • AAV, lentivirus & oncolytic VSV
  • Gibson, Golden Gate & seamless cloning
  • Site-directed mutagenesis
  • Construct design → rescue → titration
  • Full-genome assembly (11,161 bp VSV)

Molecular & PCR Assays

  • qPCR / RT-qPCR / dPCR-ready workflows
  • Assay development, optimization & qualification
  • Viral titer & genomic-copy quantification
  • TCID50 & plaque assay (infectious titer)
  • Residual-DNA & contamination QC
  • Sanger & NGS construct verification

Cell Culture & Immunoassays

  • Mammalian cell & tissue culture (13+ lines)
  • Oncology / tumor & primary-cell culture
  • Cell factories & scaled adherent culture
  • Aseptic technique & microbiology methods
  • Multicolor flow cytometry, FACS & MACS
  • Single-cell isolation & rare-cell sorting
  • ELISA, Western blot & SDS-PAGE

Instruments & Automation

  • Qubit, TapeStation, qPCR (QC)
  • BioMek, Dragonfly, FAST (automation)
  • HPLC & fluorescence microscopy
  • IGV & Galaxy (sequence analysis)
  • ELN; SOP & test-method authoring
  • GraphPad Prism; MS Office & Workspace

Process & Rigor

  • GLP / GCP-trained; cGMP-ready mindset
  • SOP & test-method authoring
  • Upstream/downstream bioprocessing (UF/DF)
  • Contemporaneous lab-notebook records
  • Method qualification for IND / FIH work
  • Mentoring & cross-team collaboration
06 Certifications
AI
Google AI Professional Certificate
2026 · AI tooling for data analysis & discovery
GLP
GLP / GCP Training
Good Laboratory & Clinical Practice · cGMP-ready
M.S.
M.S. Biomedical Sciences
Auburn University College of Veterinary Medicine · 2020
Built with code · Live app

Biotech Career Hub

A self-built web application for navigating biotech careers, developed hands-on with modern AI tooling, the same skillset behind the Google AI Professional Certificate above. Turning credentials into shipped software.

Launch the app
07 Publications & Posters

Peer-reviewed work & conference science.

A decade of output spanning a peer-reviewed journal article, conference posters, a Master's thesis, and contributions to patented synthetic-virology technology.

P01

Leveraging Synthetic Virology for the Rapid Engineering of Vesicular Stomatitis Virus (VSV)

Moles CM, Basu R, Weijmarshausen P, Ho B, Farhat M, Flaat T, Smith BF
Peer-reviewed · open access. Read the full paper on MDPI
Journal
Viruses 2024
16(10):1641
P03

Methods for Isolating Canine Mast Cell Progenitors, Melanocytes, and Keratinocytes

Flaat TD. M.S. Thesis, Auburn University College of Veterinary Medicine
Full thesis in the Auburn University ETD repository. Source of the three isolation protocols below
Thesis
Auburn Univ.
April 2020
P07

The Physics of Hearing and Cochlear Implants

Taylor D. Flaat. USF Biophysics Seminar
Seminar
USF · Spring 2015
P Protocols Built From the Thesis

Three rare-cell isolation protocols, bench-tested and published.

Precision oncology needs the normal counterpart of a tumor to compare against. These are the wet-lab methods I developed at Auburn to pull three hard-to-isolate normal cell types out of canine skin and blood. Each one a repeatable, single-cell-sequencing-grade workflow. Tap any step for detail.

Melanocytes Keratinocytes Mast cells day markers & end-points shown per track
Project 01 · Differential Adhesion

Melanocyte isolation

Melanocytes are only 3-5% of skin cells. First published method for canine skin & oral mucosa.

Day 1
Biopsy & transport
14 mm punch biopsy of Nair-treated skin (or oral mucosa); transport at 4 °C in Ca²⁺/Mg²⁺ HBSS with pen/strep + fungizone.
Clean & digest
Rinse in EtOH, trim subcutaneous fat, halve the sample, then soak in Dispase Grade II (~2.4 U/mL) for 18-24 hrs.
Day 2
Separate & disperse
Peel epidermis from dermis with forceps; mince sheets and disperse to single cells with 1× TrypLE recombinant trypsin.
Plate in MGM-M2
Centrifuge, resuspend in Melanocyte Growth Medium M2 (PromoCell, phorbol-ester-free) and plate. TPA-free to preserve native signaling.
24-36 h
Differential passage
Passage off non-adherent cells & debris. Melanocytes adhere preferentially, depleting keratinocytes and fibroblasts.
Wk 1
Verify → sequence
Confirm a pure culture and harvest RNA for deep sequencing; if impurities remain, sort by flow with melanocyte-specific markers.
Project 02 · Same Backbone, New Medium

Keratinocyte isolation

Keratinocytes are ~85% of skin, so yield is high. Comparator for basal & squamous cell carcinoma.

Shared
Identical isolation
Runs the melanocyte workflow end-to-end: biopsy → Dispase separation → TrypLE dispersal into a single-cell suspension.
Swap the growth medium
Culture in keratinocyte growth medium instead of MGM-M2. This single change that shifts selection toward keratinocytes.
Abundant recovery
Because keratinocytes dominate the epidermis, even small biopsies yield large, easily maintained populations.
Wk 1
Sequence-ready
Expand to a clean keratinocyte culture and harvest RNA as the normal comparator for skin-carcinoma transcriptomes.
Project 03 · Digest, Then Pivot to Blood

Mast cell & progenitor isolation

Skin mast cells are <1% of cells and hard to purify, so the target moved to circulating progenitors.

Skin
Cutaneous digest
Digest ~1 g of skin (≈1.5 × 14 mm punches) and culture. Yields many cells in 3 days, but a pure mast-cell culture proved impractical.
Rethink the source
Prior methods needed 10 g of skin for ~100k cells at 10-30% purity. Pivot to mast-cell progenitors (MCp) circulating in blood.
Blood
Blood & viability gate
Isolate PBMCs; stain with Ghost Dye Violet 450 and gate on live single cells first, then adjust gates using fluorescence-minus-one (FMO) controls.
MACS depletion
Magnetically deplete CD90⁺ cells. This pre-sort greatly accelerated downstream flow sorting.
FACS the progenitors
Sort the target phenotype: CD117⁺ FcεRI⁺ CD90⁻, validated against MPT-1 tumor cells and normal canine fibroblast controls.
Single-cell RNA-seq
Sequencing is the true determinant: scRNA-seq resolves the progenitor population without needing a perfectly pure sort.

Full parameters, controls and gating strategy are in the M.S. thesis and the progenitor / melanocyte posters.

08 Off the Bench

Also: I run UntriviallyJess, a trivia empire across Jersey City.

Since 2024, Taylor has owned and operated a weekly trivia business spanning multiple Jersey City venues. The same rigor for accuracy that lives at the bench, pointed at pop culture and bar crowds.

The role is equal parts host, statistician, and small-business owner: curating and fact-checking quizzes, running the room for 200+ guests, managing staff, and negotiating client contracts, all on a tight weekly schedule with real-time scorekeeping and spreadsheet wrangling.

To keep regulars coming back, Taylor built a custom loyalty-leaderboard app that ingests every night's scores and turns them into a living season standing. Each team earns a Loyalty Score and a tier (Casual → Intermediate → Pro), with trend arrows tracking who's heating up week to week.

The twist is a set of alternative standings designed so the same few powerhouse teams don't win everything, giving newer and casual teams their own races to chase: a Handicap Cup that rewards beating your own past average, a Giant Slayer Cup for upsetting dominant teams, and Median Battles crowning the most consistently middle-of-the-pack squad.

200+
guests per event
4
Jersey City venues
View the live leaderboard
LN
Luna Jersey City
weekly quiz night
902
902 Brewing Co.
host · scorekeeper
SP
San Patricios
host · event management
HH
Hudson Hound
host · client partnership
LP
Loyalty Score & Tiers
Casual → Intermediate → Pro, with weekly trend
HC
Handicap Cup
points for beating your own average
GS
Giant Slayer Cup
upset the dominant "Giant" teams
MB
Median Battles
most consistent middle-of-the-pack team
09 Software & Applied AI
Live tool · free · no signup

Biotech Job Match.

A job search engine for life-sciences scientists. Drop in a CV and it reads your skills, then ranks live postings pulled straight from the job boards of 79 biotech companies. Built because every existing job site matches on keywords and job titles, which is a terrible proxy for whether a bench scientist can actually do the work.

runs entirely in the browser · your CV is never uploaded

Matching on skills, not job titles.

Most job boards search the text of a posting. This parses the CV against an ontology of 67 canonical biotech skills — AAV, oncolytic vectors, RT-qPCR, Nanopore, FACS, UF/DF, cGMP — and builds a weighted profile of what you can actually do at the bench.

Every posting is then scored against that profile. It surfaces what a keyword search misses, and shows the gaps too: skills a role wants that your CV doesn't evidence.

There is no backend. The PDF is parsed by JavaScript in your own browser, and the postings come from the public ATS APIs that companies already serve. Nothing is stored, and nothing is sent anywhere.

01

Read the CV locally

PDF.js extracts the text in-browser, rebuilding line structure so job titles stay distinguishable from body prose.

02

Build a weighted profile

Skills are claimed by trigger terms and damped on a log scale, so a word that's merely common in prose can't outrank a specialised technique.

03

Pull live postings

Greenhouse, Lever, Ashby and SmartRecruiters are queried directly. Every link goes to the company's own board, so nothing is stale or reposted.

04

Score, rank, and filter

Roles are matched against your core skills and career level, then filtered by commute radius: 25, 50, 100 miles, or remote.

79
company boards
67
skills parsed
0
data collected
Client-side PDF parsing Skill ontology & weighting Live ATS APIs Haversine distance filtering Zero backend GitHub Pages

Let's build
something rigorous.

Open to senior research-scientist and analytical-development roles in gene & cell therapy, NGS, and synthetic biology.